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AI-GUIDED NANOBOTS FOR PRECISION DRUG DELIVERY FOR TARGETED THERAPEUTIC RELEASE VIA REAL-TIME BIOMARKER DETECTION

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AI-GUIDED NANOBOTS FOR PRECISION DRUG DELIVERY FOR TARGETED THERAPEUTIC RELEASE VIA REAL-TIME BIOMARKER DETECTION

ORDINARY APPLICATION

Published

date

Filed on 26 October 2024

Abstract

AI-Guided Nanobots for Precision Drug Delivery for Targeted Therapeutic Release via Real-Time Biomarker Detection. This invention describes AI-Navigated Nanobot System for Precision Drug Delivery provides autonomous, targeted treatment by navigating the bloodstream to diseased cells, detecting biomarkers specific to target sites, and releasing therapeutic agents with precision. Driven by an AI processing core, the system’s dual-mode propulsion enables efficient movement through various vascular environments. The molecular sensor array facilitates biomarker detection, relaying data to the AI core to trigger therapeutic release exclusively at diseased cells. Biocompatible, degradable coatings ensure safe integration and eventual natural dissolution within the body, eliminating the need for retrieval. The wireless communication system transmits real-time status updates to external devices, allowing healthcare providers to monitor and adjust treatment as needed. This system revolutionizes precision medicine by delivering localized treatment with minimal systemic exposure, offering a robust, patient-centered solution for treating complex medical conditions.

Patent Information

Application ID202421081720
Invention FieldBIO-MEDICAL ENGINEERING
Date of Application26/10/2024
Publication Number48/2024

Inventors

NameAddressCountryNationality
Dr Nayana Chaskar3C-1112, New Hind Mill Mahda Colony, Ghodapdev, Byculla (East) Mumbai, 400033IndiaIndia
Dr Hemraj R Kumavat05, Nilkanthshwer Nagar, Amode, Tal: Shirpur, Dist: Dhule, 425405IndiaIndia
Dr Ratna PanvekarShivalay, Flat no 604, Plot 81, Sector 35, Kamothe New Mumbai 410206IndiaIndia
Nasheet Tarik602 Type3, New CPWD colony, Nirman Parisar, Sahar Village, Andheri East - 400047IndiaIndia
Ahlam S A Ansari42-A/3/E-93, Shirin Manzil, Morland Road, Mumbai Central, 400008IndiaIndia
Sanam Salman KaziBharati Vidyapeeth deemed to be University Department of Engg and Tech, Kharghar, Navi Mumbai, MH 410210IndiaIndia
Harshada A RajaleA-301, Shree Meadows CHS, Behind the Water supply office, Belavali, Badlapur (W)- 421503IndiaIndia
Siddiqui Farhana Zubair204/1, Green Avenue CHS, N. H. School Road, Mira Road, Thane, 401107IndiaIndia
Dr Shabina Sayed2102, Hilton residency, B. J. Marg, Byculla, Mumbai, 400011IndiaIndia
Dr Mohd. A A MannanDept. of Computer Engg, M.H. Saboo Siddik College of Engineering, 8, Saboo Siddik Polytechnic Road, Byculla, Mumbai 400008IndiaIndia

Applicants

NameAddressCountryNationality
Dr Nayana Chaskar3C-1112, New Hind Mill Mahda Colony, Ghodapdev, Byculla (East) Mumbai, 400033IndiaIndia
Dr Hemraj R Kumavat05, Nilkanthshwer Nagar, Amode, Tal: Shirpur, Dist: Dhule, 425405IndiaIndia
Dr Ratna PanvekarShivalay, Flat no 604, Plot 81, Sector 35, Kamothe New Mumbai 410206IndiaIndia
Nasheet Tarik602 Type3, New CPWD colony, Nirman Parisar, Sahar Village, Andheri East - 400047IndiaIndia
Ahlam S A Ansari42-A/3/E-93, Shirin Manzil, Morland Road, Mumbai Central, 400008IndiaIndia
Sanam Salman KaziBharati Vidyapeeth deemed to be University Department of Engg and Tech, Kharghar, Navi Mumbai, MH 410210IndiaIndia
Harshada A RajaleA-301, Shree Meadows CHS, Behind the Water supply office, Belavali, Badlapur (W)- 421503IndiaIndia
Siddiqui Farhana Zubair204/1, Green Avenue CHS, N. H. School Road, Mira Road, Thane, 401107IndiaIndia
Dr Shabina Sayed2102, Hilton residency, B. J. Marg, Byculla, Mumbai, 400011IndiaIndia
Dr Mohd. A A MannanDept. of Computer Engg, M.H. Saboo Siddik College of Engineering, 8, Saboo Siddik Polytechnic Road, Byculla, Mumbai 400008IndiaIndia

Specification

Description:[0001] This invention relates to the field of pharmaceutical sciences more particularly precision drug delivery, specifically to an AI-navigated nanobot system designed to autonomously identify, target, and treat diseased cells within the human body. This system combines advanced AI-driven navigation, biomarker detection, and controlled therapeutic payload release to optimize treatment efficacy and minimize side effects in a range of medical applications. The invention encompasses an integrated structure featuring bio-recognition sensors for real-time disease marker identification, a responsive propulsion mechanism for precise navigation, and a biocompatible, degradable therapeutic compartment for targeted drug delivery. This innovation addresses the limitations of conventional drug delivery methods by providing a highly adaptable, minimally invasive approach to localized treatment, suitable for treating complex conditions such as cancer and severe infections.

PRIOR ART AND PROBLEM TO BE SOLVED

[0002] Drug delivery has always been a critical aspect of medical treatment, with the efficacy of medication often depending on how precisely it can be delivered to the affected site. Traditional drug delivery methods, such as oral or intravenous administration, involve the systemic distribution of medication throughout the body. While these methods are widely used, they often lack the specificity required to target diseased cells or tissues directly. This non-specific distribution can lead to several drawbacks, including reduced drug efficacy, increased risk of systemic side effects, and the need for higher dosages to achieve therapeutic outcomes.

[0003] Emerging advancements in nanotechnology and artificial intelligence (AI) have opened new possibilities in the field of precision medicine, offering more targeted approaches to drug delivery. Nanotechnology has provided tools to engineer devices at the nanoscale, enabling them to navigate through complex biological environments. AI, on the other hand, has demonstrated its potential to analyze vast amounts of biological data, making it possible to design systems that can adapt in real-time to changes in the body's physiological conditions. Combining these two fields has led to the development of smart drug delivery systems capable of recognizing specific disease markers, autonomously navigating to target sites, and delivering therapeutic agents in a controlled manner.
[0004] Despite these advancements, existing drug delivery technologies still face significant hurdles. Conventional nanoparticle-based delivery systems lack the autonomous capabilities required to adapt to dynamic changes in the body's internal environment, reducing their targeting accuracy. Moreover, without intelligent navigation, these systems may accumulate in non-targeted areas, leading to off-target effects and suboptimal therapeutic results. Current solutions also often struggle to release their payloads in a controlled manner, leading to premature drug release and ineffective treatment. In modern medicine, drug delivery methods are crucial to treatment effectiveness, yet many traditional and contemporary approaches still face significant challenges in targeting specific cells or tissues. Oral drug delivery is the most common method, where drugs are ingested and absorbed through the digestive tract. However, its lack of specificity results in systemic distribution, affecting both diseased and healthy cells, leading to widespread side effects, low bioavailability, and the degradation of drugs in the digestive tract. Intravenous (IV) drug delivery involves directly injecting drugs into the bloodstream, offering fast results and high bioavailability. Yet, it still suffers from systemic distribution, a short half-life of drugs, and the invasive nature of repeated injections, which can cause discomfort and infection risks. Topical and transdermal drug delivery, where medications are applied to the skin, faces issues with limited penetration and poor control over drug release.

[0005] Inhalation-based delivery methods target the lungs for conditions like asthma but can lead to variable absorption and local side effects like irritation. Nanoparticle-based drug delivery systems have been developed to enhance targeting but still struggle with limited autonomous navigation, premature drug release, and unintended accumulation in non-target tissues. Cell-based drug delivery, which uses living cells to transport therapeutic agents, presents challenges in complex manufacturing, immune rejection, and unpredictable behavior of cells in the body. Current drug delivery methods face general limitations like a lack of precise targeting, resulting in systemic toxicity and reduced treatment efficiency. These methods also have difficulty penetrating specific tissues, require complex dosing regimens, and lack adaptability to physiological changes within the body. Such challenges underscore the need for innovative solutions that can deliver therapeutic agents more precisely and effectively, minimizing side effects and improving patient outcomes.

[0006] One prior art describes Multi-functional cancer drug delivery nanodevice for precision medicine. This disclosure details DNA origami nanostructures engineered for personalized and targeted drug delivery. These nanostructures penetrate cells through the endolysosomal pathway, bypassing drug resistance mechanisms. They can carry small molecule drugs and nucleic acids, as well as therapeutic antibodies targeting tumor-specific antigens. This enables treatments tailored to individual patient needs in precision medicine, offering potential solutions for a wide range of cancers. Another prior art mentions Nanobots with embedded biosensors. The invention features a visualization system for the human body that includes a nanobot with an embedded biosensor for real-time data collection. It integrates a visualization device for continuous visual information and a transmitter/receiver to send data to an external device. A processor analyzes this data to determine the nanobot's exact anatomical location within the body. Another prior art describes Antibody-mediated self-catalysis targeted delivery of the nano-carrier to tumour. This invention involves encapsulating an active agent for delivery to a nano-carrier targeting extracellular DNA. The nano-carriers, such as polymer beads or liposomes, are conjugated with a targeting moiety derived from DNA or antibodies. These targeting moieties may include autoantibodies found in SLE patients, like the 3E10 antibody. Additionally, the invention includes pharmaceutical compositions, methods of application, and dosage regimens.

[0007] So to resolve the above mentioned problem here an AI-Navigated Nanobots with Targeted Payload Release system for precision medicine. These nanobots are engineered to autonomously identify diseased cells within the human body, using AI-driven navigation and bio-recognition sensors to detect specific biomarkers. Once the nanobots reach their designated site, they release therapeutic agents directly at the targeted cells, maximizing the drug's effectiveness while minimizing unwanted side effects. Their biocompatible construction ensures safe passage through the bloodstream, and their design enables natural degradation or easy retrieval post-treatment. Equipped with real-time data transmission capabilities, these nanobots allow healthcare providers to monitor progress and adjust treatment strategies if necessary. The system offers significant advancements over traditional drug delivery methods, promoting personalized treatment options and enhanced efficacy for various diseases, especially where targeted treatment can drastically improve outcomes.

THE OBJECTIVES OF THE INVENTION

[0008] It has already been proposed that despite significant advancements in medical treatments, the effectiveness of traditional drug delivery methods remains limited by their inability to precisely target diseased cells. Current approaches, like oral, intravenous, and even advanced nanoparticle-based delivery, often distribute drugs throughout the entire body, affecting both healthy and diseased tissues. This lack of precision not only reduces the efficacy of the treatment but also leads to widespread side effects, systemic toxicity, and the need for higher doses to achieve therapeutic effects. Additionally, these methods struggle to penetrate specific tissues, such as tumors or areas beyond the blood-brain barrier, further compromising their effectiveness. The need for a more targeted, precise, and adaptable drug delivery system is critical to address these limitations and enhance patient outcomes while minimizing adverse effects.

[0009] The principal objective of the invention is an AI-Navigated Nanobots that autonomously navigate the human body for precision drug delivery, leveraging AI-driven navigation systems, biomarker-specific bio-recognition, and real-time monitoring capabilities to release targeted therapeutic payloads directly at diseased cells. This system aims to optimize treatment efficacy, minimize systemic side effects, and set a new benchmark in personalized medicine by seamlessly integrating into the bloodstream for safe, efficient, and responsive drug delivery.

[0010] Another objective of the invention is that the nanobots are equipped with advanced molecular sensors designed to detect unique biomarkers associated with diseased cells, such as cancerous or inflamed tissues. This biomarker-specific targeting allows the nanobots to selectively interact with only the intended target cells, minimizing the potential for harm to healthy tissues. The system's bio-recognition capability is powered by sophisticated algorithms that differentiate between healthy and diseased cells, thereby enhancing the precision and effectiveness of the treatment. By targeting biomarkers unique to disease states, the nanobots significantly reduce the risk of adverse side effects and improve the overall safety profile of the treatment process.

[0011] The further objective of the invention is that the nanobots are integrated with an AI-driven navigation system that processes real-time biological data from within the bloodstream, including specific chemical signals and biomarker patterns. This AI system autonomously guides the nanobots to designated target areas while avoiding non-target tissues, ensuring that therapeutic payloads are delivered precisely where they are needed. The navigation system is adaptive, responding dynamically to environmental changes such as variations in pH, temperature, or chemical gradients within the bloodstream. These adaptive algorithms allow the nanobots to maintain efficient navigation under diverse physiological conditions, making them more reliable for targeted drug delivery in complex and variable biological environments.

[0012] The further objective of the invention is nanobots with an internal compartment that securely holds a customizable therapeutic payload, such as anticancer drugs, antibiotics, or other tailored medications. This compartment is engineered to ensure that the payload remains stable during navigation until it reaches the designated target site. An AI-triggered release mechanism controls the delivery, ensuring that the therapeutic agents are dispensed only upon the nanobot's arrival at the diseased cells. By releasing the medication at the target site, the system maximizes drug efficacy while minimizing exposure to healthy tissues, significantly enhancing the overall safety and effectiveness of the treatment.

[0013] The further objective of the invention is up-to-date insights into the treatment process, each nanobot is equipped with wireless communication capabilities. This feature allows the nanobots to transmit real-time data on their location, operational status, and biomarker interactions. The transmitted data enables healthcare professionals to monitor the progress of the nanobots within the body, offering the flexibility to make timely adjustments or interventions if needed. Additionally, a specially designed interface allows healthcare providers to access and interpret the transmitted data efficiently, facilitating informed decision-making and personalized adjustments to the treatment as necessary.

[0014] The further objective of the invention is that the nanobots are constructed using non-immunogenic, biocompatible materials that enable them to operate safely within the human bloodstream. This design minimizes immune responses, ensuring that the nanobots interact smoothly with biological tissues without triggering adverse reactions. Furthermore, the nanobots are engineered to either break down naturally and be excreted from the body post-treatment or be retrieved through minimally invasive procedures. This biocompatible and safe design allows the nanobots to perform their functions effectively while maintaining a low risk of post-treatment complications.


[0015] The further objective of the invention is to navigate the bloodstream effectively, the nanobots utilize propulsion methods such as chemical or electromagnetic forces, enabling them to move efficiently through the body with minimal disruption to surrounding tissues. The design of the nanobots ensures a balance between effective propulsion and low friction, allowing them to pass through even the smallest blood vessels without causing discomfort or blockages. This efficient propulsion system minimizes the impact on surrounding tissues, allowing for a smooth journey through the circulatory system, which is essential for reaching targeted diseased cells with precision.

[0016] The further objective of the invention is that each nanobot can be modified to hold specific therapeutic agents suitable for various medical conditions, enabling the nanobots to address different disease states with precision. This flexibility also allows for combinatory treatments, where multiple therapeutic agents can be deployed together to tackle complex conditions. The nanobots' customizability supports a broader application in precision medicine, facilitating future expansions in targeted drug delivery and personalized treatment options.

SUMMARY OF THE INVENTION

[0017] Drug delivery refers to the process of administering pharmaceutical compounds to achieve therapeutic effects in humans or animals. Effective drug delivery ensures that the right amount of medication reaches the target site in the body at the appropriate time. There are several methods of drug delivery, including oral, intravenous (IV), topical and transdermal, inhalation, nanoparticle-based, and cell-based delivery systems. Challenges in drug delivery include a lack of targeting precision, bioavailability issues, drug stability, complex dosing regimens, and the inability to cross biological barriersCurrent technologies, like nanoparticle-based and cell-based drug delivery systems, have made significant strides in addressing the challenges of precise drug targeting. Nanoparticles are engineered to carry therapeutic agents to specific sites, improving drug concentration at diseased cells. Despite this, they often lack the ability to navigate autonomously to the exact location, leading to off-target effects, premature drug release, and potential toxicity from accumulation in non-target organs like the liver or spleen. Similarly, cell-based delivery systems, which use living cells to transport drugs to diseased tissues, leverage natural cell properties for targeted delivery. However, their manufacturing is complex, costly, and poses risks like immune rejection and unpredictable cell behavior. Both technologies still face issues with precise targeting, control over drug release, and adaptability to dynamic changes within the body's environment. While these systems offer better targeting compared to traditional methods, they do not fully overcome the challenges of efficient, localized delivery to specific cells or tissues, highlighting the need for more sophisticated solutions like AI-navigated systems that can enhance targeting accuracy and therapeutic outcomes.

[0018] Here at the invention an AI-Navigated Nanobots with Targeted Payload Release is engineered for precision medicine, aimed at enhancing treatment accuracy and reducing systemic side effects. Equipped with AI-powered navigation and bio-recognition sensors, these nanobots can autonomously detect diseased cells by identifying specific biomarkers within the body. The nanobots' biocompatible exterior ensures they safely traverse the bloodstream, while an internal compartment securely holds a therapeutic payload tailored to the patient's needs. Upon reaching the target cells, an AI-triggered release mechanism administers the medication directly to the disease site, maximizing efficacy. Additionally, the nanobots incorporate wireless communication for real-time monitoring, enabling healthcare providers to track their location and function. Constructed with materials that support natural breakdown or removal post-therapy, these nanobots represent a significant leap in drug delivery by providing localized, adaptable, and personalized treatments for complex conditions.

DETAILED DESCRIPTION OF THE INVENTION

[0019] While the present invention is described herein by example, using various embodiments and illustrative drawings, those skilled in the art will recognise invention is neither intended to be limited that to the embodiment of drawing or drawings described nor designed to represent the scale of the various components. Further, some features that may form a part of the invention may need to be illustrated with specific figures for ease of illustration. Still, on the contrary, the invention covers all modification/s, equivalents, and alternatives falling within the scope of the present invention as defined by the appended claims. The headings are used for organizational purposes only and are not meant to limit the description's size or the claims. As used throughout this specification, the worn "may" be used in a permissive sense (That is, meaning having the potential) rather than the mandatory sense (That is, meaning, must).
[0020] Further, the words "an" or "a" mean "at least one" and the word "plurality" means one or more unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents and any additional subject matter not recited, and is not supposed to exclude any other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents acts, materials, devices, articles and the like are included in the specification solely to provide a context for the present invention.
[0021] In this disclosure, whenever an element or a group of elements is preceded with the transitional phrase "comprising", it is also understood that it contemplates the same component or group of elements with transitional phrases "consisting essentially of, "consisting", "selected from the group comprising", "including", or "is" preceding the recitation of the element or group of elements and vice versa. Before explaining at least one embodiment of the invention in detail, it is to be understood that the present invention is not limited in its application to the details outlined in the following description or exemplified by the examples. The invention is capable of other embodiments or of being practiced or carried out in various ways. Also, it is to be understood that the phraseology and terminology employed herein is for description and should not be regarded as limiting.
[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention belongs. Besides, the descriptions, materials, methods, and examples are illustrative only and not intended to be limiting. Methods and materials similar or equivalent to those described herein can be used in the practice or testing of the present invention.
[0023] The present invention discloses an AI-Navigated Nanobots for Precision Drug Delivery represent a transformative leap in medical treatment, harnessing advanced AI-driven capabilities to deliver therapeutic agents directly to diseased cells with pinpoint accuracy. Designed to operate autonomously within the human body, these nanobots navigate the bloodstream, identify diseased cells through specific biomarkers, and deliver medication directly to target sites. This precise targeting enhances the efficacy of drug treatments, significantly reducing the side effects associated with conventional drug delivery methods by focusing therapy on areas where it's most needed.
[0024] The primary purpose of these nanobots is to provide a highly personalized approach to medicine, adapting to the patient's unique biological markers to ensure that treatments are administered safely and effectively. The AI-enabled navigation system allows the nanobots to recognize changes within the biological environment, responding in real-time to variations in physiological conditions. This adaptability ensures that the nanobots remain functional and accurate in diverse scenarios, improving treatment outcomes and minimizing unintended interactions with healthy tissues. One of the standout features of these nanobots is their capability for real-time monitoring and data transmission. By communicating their location, status, and biomarker interactions back to healthcare providers, these nanobots offer an unprecedented level of transparency and control over the treatment process. This capability enables healthcare professionals to monitor the nanobots' progress in the body and make any necessary adjustments to the treatment strategy, thereby ensuring optimal results while maintaining patient safety.
[0025] The nanobots are also designed with patient comfort and safety as priorities. Their biocompatible construction allows them to operate seamlessly within the bloodstream without triggering adverse immune reactions. Additionally, their ability to either break down naturally or be safely retrieved after completing their task ensures that they do not leave residual materials in the body, enhancing the post-treatment experience. Through their sophisticated targeting and adaptable design, these nanobots mark a significant advancement in precision medicine, offering a safer, more effective alternative for treating complex diseases by localizing therapeutic action and reducing the potential for systemic side effects.
[0026] The AI-Navigated Nanobots for Precision Drug Delivery, although microscopic, are meticulously engineered with a streamlined, spherical or capsule-like shape to enable optimal navigation through the human bloodstream. Each nanobot's surface is embedded with highly specialized molecular sensors that detect disease-specific biomarkers, crucial for identifying target cells. These sensors, although invisible to the naked eye, are strategically integrated within the nanobot's exterior to enable continuous analysis of the surrounding environment, reading and interpreting complex biomarker signals that guide it toward diseased cells. The surface of the nanobot also contains minuscule adaptive pores that play a key role in regulating interactions with external molecules, enabling the nanobot to adjust to variations in the bloodstream's pH or temperature, which are critical in ensuring stability and maintaining precision in dynamic physiological conditions.
[0027] Designed with patient safety in mind, the nanobot's exterior incorporates an advanced material that can break down naturally after fulfilling its function. This exterior is non-immunogenic, ensuring that even prolonged presence in the body will not provoke immune responses. For cases where retrieval is necessary, the nanobot can be safely extracted via minimally invasive methods, thanks to its smooth, compact form and strategically positioned, non-invasive structures that healthcare professionals can interact with externally. This level of attention to the nanobot's external design ensures a balance between durability and biodegradability, enhancing both safety and effectiveness.
[0028] To facilitate real-time communication with healthcare providers, the nanobot's exterior is equipped with tiny, embedded wireless transmission points, which allow it to relay real-time data on its location, status, and therapeutic progress. These transmission points are micro-scale and seamlessly embedded within the nanobot's surface, ensuring they do not interfere with the nanobot's movement or navigation. The transmission is designed to be continuous but non-intrusive, enabling healthcare professionals to monitor its path through the bloodstream, assess target engagement, and ensure the timely release of therapeutic payloads at the precise location of diseased cells.
[0029] The AI-Navigated Nanobots for Precision Drug Delivery are composed of several meticulously integrated components, each crafted from specialized biocompatible materials to ensure seamless interaction within the human body. At the heart of each nanobot lies a central AI processing core, constructed from highly miniaturized, silicon-based nanochips embedded with advanced algorithms. This core serves as the operational command center, processing data received from the surrounding environment and directing the nanobot's movements and actions. The AI core integrates with real-time data analytics to adaptively interpret the bloodstream's dynamic biochemical landscape, constantly evaluating parameters such as pH, temperature, and biomarker signals. This continuous analysis enables the AI system to adjust navigation and drug release protocols with high precision, guiding the nanobot towards the designated target cells.
[0030] Constructed from a network of miniaturized, silicon-based nanochips, the core contains an intricate mesh of circuits, transistors, and microprocessors embedded with advanced algorithms specifically optimized for real-time environmental analysis and decision-making. These nanochips are engineered at an extremely small scale, allowing the entire processing unit to fit seamlessly within the nanobot without increasing its volume or interfering with its movement through the bloodstream. The core's construction from high-quality, durable materials ensures that it maintains functionality despite the dynamic conditions of the bloodstream, making it a resilient and dependable component.
[0031] The AI core is responsible for processing data in real time, continuously receiving inputs from the molecular sensor array on the nanobot's surface. This sensor data provides crucial information about the surrounding biochemical landscape, including variations in pH, temperature, and specific biomarker patterns unique to diseased cells. Upon receiving this data, the core's embedded algorithms immediately begin a complex analysis, interpreting the biochemical signals to determine the most efficient route to the target site. The algorithms are designed to rapidly process and prioritize this information, adjusting the nanobot's navigation based on the detected biomarkers, ensuring that it can accurately home in on diseased cells while avoiding healthy tissues.
[0032] One of the most critical aspects of the AI core's functionality is its integration with real-time data analytics. This integration allows the core to adaptively adjust the nanobot's actions as it moves through the bloodstream, a feature that is essential for effective navigation in a constantly changing biological environment. The core's data analytics system continuously evaluates environmental parameters, recalculating the optimal path in response to any changes it detects. For instance, if the nanobot encounters an unexpected pH fluctuation or temperature shift indicative of an inflamed area, the AI core recalibrates its navigation algorithms, adjusting its trajectory accordingly to reach the diseased site. This dynamic adaptability ensures that the nanobot can effectively overcome physiological barriers, maintaining a direct path to its intended target cells.
[0033] The AI core is also responsible for coordinating the drug release mechanism. Upon reaching the target cells, as identified by specific biomarkers, the AI core activates a signal that initiates the therapeutic payload release. The core's advanced algorithms carefully control the timing and quantity of the drug release to ensure that the medication is delivered with maximum precision and minimal wastage. This control is vital for reducing systemic exposure to the therapeutic agents, thereby minimizing side effects and enhancing the treatment's overall efficacy. By processing inputs from the biomarker sensors, the AI core ensures that the payload is released only when the nanobot is in proximity to the target cells, making the entire drug delivery process highly targeted.
[0034] The interaction between the AI core and the nanobot's other components is fundamental to the system's overall functionality. The AI core communicates with the propulsion system, continuously updating it with navigational adjustments to steer the nanobot toward the target cells while maintaining efficient movement. This communication between the AI core and the propulsion unit allows the nanobot to respond instantly to any changes in the biochemical landscape, maintaining a precise course even in highly dynamic environments. Additionally, the AI core is linked to the wireless communication system embedded in the nanobot's surface, enabling it to transmit real-time data on location, status, and biomarker detection to an external monitoring device. This connectivity allows healthcare providers to observe the nanobot's progress and make real-time adjustments if necessary.
def __init__(self, threshold_pH, threshold_temp, biomarker_threshold):
self.threshold_pH = threshold_pH
self.threshold_temp = threshold_temp
self.biomarker_threshold = biomarker_threshold
self.current_position = (0, 0)
self.proximity_to_target = False
self.therapeutic_payload_released = False

def receive_sensor_data(self, pH, temperature, biomarker_level):
"""Process real-time sensor data and determine if adjustments are needed."""
self.pH = pH
self.temperature = temperature
self.biomarker_level = biomarker_level
self.analyze_environment()

def analyze_environment(self):
"""Analyze biochemical landscape based on threshold values and adjust path."""
if self.pH < self.threshold_pH or self.temperature > self.threshold_temp:
self.adjust_path("Recalibrate due to abnormal pH/temperature")
if self.biomarker_level >= self.biomarker_threshold:
self.proximity_to_target = True
self.coordinate_drug_release()
else:
self.proximity_to_target = False

def adjust_path(self, reason):
"""Recalculate path towards target site based on environmental data."""
print(f"Adjusting path: {reason}")
# Logic for recalibrating path based on real-time data

def coordinate_drug_release(self):
"""Initiate therapeutic release when target site is confirmed."""
if self.proximity_to_target and not self.therapeutic_payload_released:
print("Initiating payload release at target site")
self.therapeutic_payload_released = True
else:
print("Target not confirmed, holding payload")

def transmit_status(self):
"""Send status updates to external monitoring device."""
print(f"Position: {self.current_position}, Payload Released: {self.therapeutic_payload_released}, Target Detected: {self.proximity_to_target}")

The AI core component is designed to continuously receive and analyze sensor data, including pH, temperature, and biomarker concentration, to determine if the nanobot is in proximity to diseased cells. Each variable has an associated threshold value representing conditions typically found in diseased versus healthy tissue. The pH threshold is set to detect the often slightly acidic environment of inflamed or cancerous tissues. Similarly, the temperature threshold accounts for localized temperature increases often associated with inflammation or abnormal cell growth. The biomarker concentration threshold is tailored to identify specific biomarker levels indicative of target cells, such as cancer cell surface proteins or inflammatory markers.

Upon receiving data from the molecular sensor array, the AI core compares the environmental readings to these threshold values. When pH or temperature values deviate beyond the predefined thresholds, the AI core initiates a path recalibration to avoid non-target areas or to adjust the nanobot's trajectory toward potential diseased sites. The biomarker threshold is essential in identifying when the nanobot has entered the immediate vicinity of diseased cells. If biomarker levels meet or exceed this threshold, it signals the AI core to mark the location as a potential target site. Once proximity to the target site is confirmed based on biomarker concentration, the AI core initiates therapeutic payload release. This selective release mechanism ensures that the therapeutic agents are delivered only at or near the diseased cells, minimizing the exposure to surrounding healthy tissues and reducing the risk of side effects. By relying on precise threshold values for pH, temperature, and biomarker levels, the AI core ensures that the nanobot responds specifically to diseased environments, enhancing targeting accuracy. Furthermore, this threshold-based approach allows the nanobot to maintain a continuous, dynamic assessment of its surroundings, adapting to unexpected physiological changes and ensuring effective, localized treatment in real time.
[0035] The material composition of the AI core's nanochips and circuitry is chosen to support both durability and energy efficiency, critical for sustained operation within the body. The core uses low-energy silicon transistors and highly conductive materials to ensure minimal power consumption, allowing the nanobot to operate autonomously over extended periods. Additionally, these materials are designed to be biocompatible, preventing any risk of toxicity or degradation due to exposure to bodily fluids. This choice of materials not only extends the AI core's operational lifespan but also ensures its safe integration within the human body, allowing the nanobot to perform reliably throughout the treatment cycle. By continuously processing and responding to inputs from the molecular sensor array, managing communication with the propulsion and drug release systems, and interacting with external monitoring devices, the AI core ensures that the nanobot can autonomously locate and treat diseased cells with exceptional accuracy.
[0036] Surrounding the AI core is the nanobot's propulsion mechanism, which operates on a combination of electromagnetic and chemical propulsion principles. This propulsion system is composed of nanostructured materials that respond to external magnetic fields, allowing the nanobot to steer effectively through the bloodstream. By combining chemical reactions with electromagnetic forces, the propulsion system generates subtle, directed movements that allow the nanobot to glide through even the smallest capillaries without damaging surrounding tissues. The propulsion unit is harmoniously integrated with the AI core, receiving continuous updates on direction and speed, allowing it to respond immediately to any change in the biological environment.
Constructed from highly responsive, nanostructured materials, this propulsion mechanism is finely tuned to work harmoniously with the nanobot's central AI processing core, enabling it to adapt its movement instantaneously to changes in the body's biochemical landscape. he nanobot's propulsion mechanism relies on a series of embedded nanomaterials with magnetic properties that allow it to respond to external electromagnetic fields. These magnetic nanoparticles are arranged strategically within the nanobot's structure, enabling finely controlled orientation and movement in response to magnetic signals generated by an external source or an internally programmed field within the nanobot. By applying targeted electromagnetic pulses, the nanobot can be directed along specific paths, allowing it to steer effectively through complex vascular networks. This magnetic response system is highly sensitive, providing the nanobot with the ability to make rapid directional changes and adjustments necessary to reach precise target sites, even within microvessels.
[0037] In addition to magnetic control, the propulsion system incorporates a chemical propulsion component, enabling it to generate forward motion independently when electromagnetic guidance alone would be insufficient, such as in dense tissue regions or in areas with limited external access for magnetic field control. This chemical propulsion element is powered by nanostructured catalytic surfaces embedded within the propulsion system, which catalyze specific chemical reactions with naturally occurring molecules in the bloodstream, such as hydrogen peroxide or glucose. These reactions produce microbubbles or other byproducts that create subtle bursts of propulsion, allowing the nanobot to glide forward in a controlled manner. The propulsion force generated by these chemical reactions is carefully calibrated to ensure that it does not disrupt nearby cells or cause turbulence, providing a smooth, non-invasive transit through even the most delicate capillaries.
[0038] The seamless integration of electromagnetic and chemical propulsion principles within the nanobot's propulsion mechanism ensures continuous and responsive movement, regardless of the surrounding environment. The electromagnetic component is ideal for large, rapid movements and changes in direction, while the chemical propulsion system provides fine-tuned adjustments and sustained motion within confined spaces. The nanobot's AI core continuously monitors and assesses the propulsion needs based on real-time sensor data, adjusting the balance between electromagnetic and chemical propulsion to achieve optimal navigation. This constant feedback loop between the AI core and the propulsion system allows the nanobot to navigate the body's diverse physiological environments, from high-flow arteries to intricate capillary networks.
[0039] The propulsion mechanism's responsiveness is a result of its high-level integration with the AI core, which communicates directional and speed requirements to the propulsion system based on data from molecular sensors and environmental cues. When the AI core identifies specific biomarkers associated with diseased cells, it directs the propulsion system to adjust its speed, slow down, or change direction, enabling precise targeting as it approaches the intended cells. This continuous adaptation ensures that the nanobot not only reaches its target accurately but also conserves energy by modulating its propulsion intensity according to real-time requirements, enhancing the nanobot's overall efficiency and operational lifespan within the body.
[0040] The propulsion mechanism's construction materials are specially selected for durability, biocompatibility, and minimal friction. These nanostructured materials are coated with a biocompatible layer to prevent immune recognition, ensuring that the propulsion system does not provoke an immune response or cause irritation as it moves through blood vessels. The structural materials are also designed to withstand the constant pressure changes within the bloodstream, allowing the nanobot to navigate effectively even in high-flow regions without experiencing wear or functional degradation. The propulsion mechanism's components are further engineered to be energy-efficient, ensuring that the nanobot maintains its functionality for extended periods, a crucial feature for long-term treatments or complex navigational paths to target sites deep within the body.By seamlessly integrating electromagnetic and chemical propulsion methods, the nanobot can traverse the body's vascular network with remarkable control and accuracy, reaching even the smallest capillaries without harming surrounding tissues. This dual-propulsion system, under the guidance of the central AI core, ensures that the nanobot can respond dynamically to the ever-changing biological environment, facilitating a new level of precision in targeted medical interventions.
[0041] Encasing the AI core and propulsion system is the molecular sensor array, a highly sensitive layer of nanosensors that detect specific biomarkers unique to diseased cells. These sensors are fabricated from bio-recognition materials designed to bind only to target biomarkers, ensuring precise identification of diseased tissues. When biomarkers specific to cancerous or inflamed cells are detected, the sensors relay this information back to the AI core, which in turn directs the nanobot to adjust its path. The integration between the molecular sensors and the AI processing unit is critical, as it enables the nanobot to distinguish between healthy and diseased cells in real time, achieving an unparalleled level of targeting accuracy that minimizes risk to non-target tissues.
[0042] This sensor array comprises multiple types of bio-recognition sensors, each specialized for detecting distinct biomolecular patterns, such as protein markers, abnormal DNA sequences, or pH variations commonly associated with conditions like cancer, inflammation, and other disease states. These sensors are embedded in a fine layer around the nanobot's surface, ensuring direct and continuous interaction with the bloodstream and cellular environment as the nanobot travels through the body. Each sensor within the molecular sensor array is constructed from advanced bio-recognition materials that have been chemically programmed to bind selectively to disease-specific biomarkers. These materials are often based on aptamers, antibodies, or synthetic peptides engineered to have a high affinity for biomarkers unique to pathological cells. When a biomarker specific to a diseased cell, such as a cancer cell surface antigen, is detected, the sensor binds selectively to it, triggering an electrical or biochemical signal within the nanobot. This signal is then relayed immediately to the AI core, which uses it to adjust the nanobot's navigation and ensure it remains directed toward the targeted cells.
[0043] The types of sensors within this array include electrochemical sensors, fluorescent resonance energy transfer (FRET) sensors, and pH-sensitive sensors, each of which plays a unique role in identifying and validating the presence of diseased cells. Electrochemical sensors, for instance, operate by detecting electron transfer changes associated with specific biomarkers. When these sensors encounter a target biomarker, they generate a measurable electric current that the AI core interprets as confirmation of diseased tissue. This immediate feedback enables the AI to make navigational adjustments on-the-fly, ensuring that the nanobot moves toward the diseased site with high accuracy.
[0044] Fluorescent resonance energy transfer (FRET) sensors are another crucial component within the molecular sensor array. These sensors detect the presence of disease biomarkers by emitting a distinct fluorescent signal upon binding with the target molecules. The fluorescent signal can vary in intensity based on the concentration of the biomarker, allowing the AI core not only to confirm the presence of diseased cells but also to gauge the severity of the disease state. This information is essential for adjusting the dosage of therapeutic payload released when the nanobot reaches the site, thus providing a tailored approach to drug delivery.
[0045] The pH-sensitive sensors within the molecular sensor array detect abnormal acidity levels, which are common in cancerous or inflamed tissues. These sensors are engineered with materials that change their charge or structure in response to variations in pH, allowing them to serve as early indicators of diseased environments even before specific biomarkers are encountered. When the nanobot encounters a region of altered pH, the pH-sensitive sensors signal the AI core to slow the nanobot's movement and intensify the search for specific biomarkers in the vicinity. This proactive approach enables the nanobot to locate diseased cells with high accuracy, even in complex or ambiguous environments where biomarker concentration may initially be low.
[0046] The interaction between the molecular sensor array and the AI core is critical to the nanobot's ability to distinguish between healthy and diseased cells in real-time. The AI core continuously receives data from each sensor type, interpreting signals from electrochemical, FRET, and pH-sensitive sensors to create a comprehensive "map" of the molecular landscape in the bloodstream. When a sufficient level of biomarkers is detected, indicating the proximity of diseased cells, the AI core cross-references this data to confirm the target location, adjusting the nanobot's trajectory accordingly. This multi-sensor integration ensures that the nanobot avoids non-target tissues, significantly minimizing the risk of collateral impact on healthy cells.
[0047] The materials composing the sensor array are engineered for durability and biocompatibility, ensuring they remain stable and functional as the nanobot travels through different physiological environments. They are coated with non-immunogenic compounds to prevent immune recognition, allowing the nanobot to move undetected and unimpeded within the body. Additionally, the sensor materials are selected for their resistance to degradation by enzymes and other biochemical agents found in the bloodstream, ensuring that the nanobot's sensing capabilities are preserved throughout its journey to the target site. The molecular sensor array functions as the nanobot's "eyes and ears" in the biological landscape, providing highly sensitive and specific detection of diseased cells based on molecular cues. By combining various sensor types, each tuned to respond to different aspects of diseased tissue, the array enables the nanobot to navigate with unparalleled precision. This real-time, continuous feedback to the AI core enables a new level of targeting accuracy, empowering the nanobot to deliver therapeutic payloads directly to diseased cells while safeguarding healthy tissues from unintended exposure.
[0048] Inside the nanobot is a payload compartment, a secure chamber constructed from biodegradable polymers that protect the therapeutic agents from degradation until they reach the target site. This compartment is designed to be resilient enough to hold a variety of drugs, from anticancer agents to antibiotics, and is adaptable to various sizes and compositions of payloads. The compartment is equipped with a release mechanism that is triggered by the AI core upon reaching the diseased cells. This release system is composed of responsive polymers that degrade or open in response to specific biochemical cues, allowing the therapeutic agents to be delivered precisely at the target site. This integration of the payload compartment with the AI core ensures that the payload remains secure during transit and is released only when needed, optimizing the efficacy of the treatment.
[0049] Constructed from high-grade biodegradable polymers, this compartment is built to protect sensitive medications, such as anticancer drugs or antibiotics, from premature degradation in the bloodstream. This ensures that the therapeutic agents remain stable and effective until they reach diseased cells. The compartment's material composition is carefully chosen to be non-immunogenic and compatible with the human body, reducing the risk of immune responses or interference from blood-borne enzymes and ensuring that the drugs maintain their potency and integrity during transit.
[0050] Internally, the payload compartment resembles a small reservoir or cavity, designed to house either solid or liquid formulations of therapeutic agents. Its internal walls are often coated with additional stabilizing materials to protect against oxidation, moisture, or pH variations within the bloodstream, enhancing the longevity of the payload. In some cases, the compartment may be partitioned or segmented to store multiple drug types, allowing the nanobot to deliver combination therapies in a single journey. This adaptability to various drug forms and combinations makes the payload compartment versatile, capable of being customized to treat a wide range of conditions, from localized infections to cancerous tumors.
[0051] The release mechanism within the payload compartment is an intricate system composed of nano-valves or micro-gates made from responsive polymers. These nano-valves function as precision-controlled gates that protect the therapeutic agents until the nanobot reaches its designated site. The responsive polymers forming these valves are crafted to respond to specific environmental cues, such as pH changes, temperature shifts, or biochemical signals unique to diseased cells. For instance, if the target cells exhibit a unique pH environment or express a particular surface marker, the polymers in the nano-valves will alter their configuration, effectively "unlocking" the compartment and opening small pores to release the drugs directly at the diseased site. This precise control over drug release significantly enhances treatment efficacy, as the therapeutic agents are dispensed only in the targeted location, reducing potential systemic exposure and side effects.
[0052] The nanobot's AI core plays a crucial role in orchestrating the release mechanism of the payload compartment. Throughout its journey in the bloodstream, the AI core continuously monitors data from the nanobot's molecular sensors. When it detects biomarkers that confirm the nanobot has reached the correct target site, it triggers a signal to the responsive polymers, initiating the release process. This integration between the AI core and the payload release system is essential for ensuring that the therapeutic agents are dispensed with pinpoint accuracy. The AI core's role in validating the target location before activating the release mechanism provides an additional safeguard, preventing accidental drug release in non-target tissues and maximizing the concentration of the drug at the disease site.
[0053] The configuration of the nano-valves is designed for controlled, gradual release, which is especially useful in scenarios requiring sustained drug exposure at the target site. By modulating the size of the pore openings or the number of valves activated, the release mechanism can control the rate of drug dispensation, allowing for a burst or a steady flow of therapeutic agents. This level of control over drug release rate further enhances the nanobot's adaptability, as it can be calibrated to meet the specific requirements of different treatment protocols, from rapid drug deployment in acute conditions to sustained, localized therapy in chronic diseases.
def control_release_rate(self):
"""Adjust release rate based on therapy needs."""
if self.is_at_target_site:
# Determine release type based on treatment needs (e.g., sustained or burst)
release_type = "gradual" if self.needs_sustained_exposure() else "burst"
if release_type == "gradual":
print(f"Releasing payload gradually at rate: {self.gradual_release_rate}")
else:
print(f"Releasing payload in burst at rate: {self.burst_release_rate}")

def needs_sustained_exposure(self):
"""Determine if the therapeutic protocol requires sustained drug exposure."""
# Placeholder logic: Can be based on condition type or external input
return True # Set to `False` for burst release, or customized as needed

By comparing real-time biomarker data to this threshold, the AI core can confidently identify when the nanobot is at the desired location, thus avoiding premature or unintended drug release.Upon reaching the threshold, the AI core initiates the release mechanism, signaling the responsive polymers in the nano-valves to begin the controlled dispensation of the therapeutic payload. The release is then calibrated based on the treatment protocol requirements, modulating the size and frequency of the nano-valve openings to provide either a gradual, sustained release or a rapid burst. This flexibility in release rate allows the system to adapt to both acute and chronic treatment needs, delivering a controlled dosage that maximizes efficacy while reducing the risk of systemic side effects. For instance, a gradual release might be used for conditions requiring continuous, localized exposure to the drug, while a burst release would be suitable for acute conditions needing rapid intervention.

Using a biomarker threshold as a confirmation mechanism ensures that the AI core only releases the drug when the nanobot is precisely positioned at the target site. This safeguard minimizes exposure of healthy tissues to the therapeutic agent, preventing accidental release that could cause unintended side effects. Moreover, the adaptable release mechanism provides clinicians with a fine level of control over drug dispensation, offering the versatility to treat a wide range of medical conditions effectively. This threshold-based approach, combined with controlled release modulation, enhances the precision and safety of the nanobot, supporting a new standard in targeted drug delivery.
[0054] Externally, the nano-valves or gates may appear as tiny pores or perforations on the surface of the payload compartment. These pores are virtually invisible to the naked eye but are engineered to be structurally robust, allowing for precise release of the payload without compromising the integrity of the compartment. The polymers that form these gates are specially treated to resist degradation during transit, ensuring they respond only to the appropriate biochemical cues at the target site. Once the therapeutic agents are released, the remaining polymers within the compartment can break down naturally, enabling the nanobot to biodegrade or be retrieved with minimal impact on the body. By housing the therapeutic agents securely and releasing them only at the correct location, the payload compartment ensures that treatment is both effective and safe, reducing the likelihood of systemic side effects and maximizing the localized impact of the drugs.
[0055] The exterior of the nanobot is fabricated from non-immunogenic, biocompatible materials, such as polyethylene glycol (PEG) coatings or similar compounds, which provide a smooth surface and reduce friction as the nanobot moves through the bloodstream. This coating prevents the nanobot from eliciting immune responses, allowing it to navigate safely within the body without being attacked by immune cells. The outer shell also serves as a structural layer that protects the internal components from physiological wear, enabling the nanobot to remain fully functional over an extended period. The biocompatible coating is carefully integrated with the molecular sensor layer, ensuring that the sensors are exposed to the bloodstream without compromising the structural integrity of the nanobot.
[0056] The outer shell of the AI-Navigated Nanobots for Precision Drug Delivery is engineered with an exceptional level of care, crafted from biocompatible, non-immunogenic materials that allow the nanobot to travel through the bloodstream undetected by the body's immune system. Polyethylene glycol (PEG) coatings or similar compounds are typically used for this purpose, forming a smooth, highly inert layer that covers the entire nanobot surface. This coating not only reduces friction, allowing the nanobot to move seamlessly within blood vessels, but also minimizes any interaction with immune cells, effectively "cloaking" the nanobot. This stealth capability is essential for ensuring that the nanobot can perform its task without triggering immune responses that could disrupt its journey or impair its functionality.
[0057] The biocompatible coating also functions as a robust structural layer, providing mechanical protection for the nanobot's internal components. Given the constant physiological pressures within the bloodstream, including shear forces from blood flow and potential contact with cellular structures, the outer shell must be resilient to avoid deformation or damage. The PEG-based or similar compound coating is designed to absorb and dissipate minor impacts, safeguarding the nanobot's internal AI core, sensor array, propulsion system, and payload compartment. This structural integrity is crucial for maintaining operational stability, as any compromise in the shell could lead to unintended release of the therapeutic payload or malfunctions in the nanobot's navigation system.
[0058] Integrated within this outer shell is the molecular sensor array, a layer of highly specialized sensors capable of detecting biomarkers associated with diseased cells. The biocompatible coating is carefully engineered to allow these sensors to remain in direct contact with the bloodstream while maintaining the overall structural integrity of the nanobot. This integration is achieved by embedding the sensors in a way that they slightly protrude through the outer coating, giving them direct access to the blood's biochemical signals. The coating around the sensors is ultra-thin yet durable, preventing the sensors from being obstructed or isolated from the surrounding environment. This integration allows the sensors to perform their critical role of identifying target cells with high precision, while the rest of the nanobot remains shielded and structurally protected.
[0059] The materials used in this coating are chosen not only for their biocompatibility and non-immunogenic properties but also for their biodegradability. Once the nanobot completes its mission, the outer coating is designed to degrade naturally within the body, reducing the need for retrieval and ensuring minimal long-term impact on the patient. The outer coating of the AI-Navigated Nanobots for Precision Drug Delivery is meticulously engineered with controlled biodegradability, enabling the nanobot to safely dissolve within the body after completing its therapeutic mission. This coating is constructed from advanced biodegradable polymers that gradually break down in response to specific physiological conditions, such as shifts in temperature or pH levels commonly found in post-treatment scenarios. This self-degrading property is integral to the nanobot's design, allowing it to fulfill its purpose without requiring invasive retrieval procedures, aligning with the principles of minimally invasive medicine and enhancing patient safety.
[0060] To initiate the degradation process, the coating is embedded with molecular triggers that respond to environmental cues, ensuring that the nanobot remains intact only as long as needed. For example, the coating may contain pH-sensitive bonds that remain stable within the typical pH range of the bloodstream. Once the nanobot reaches a region with a slightly altered pH, or when the pH shifts as the body's immune response subsides after treatment, these bonds begin to weaken, gradually breaking down the coating. This pH-responsive degradation mechanism ensures that the nanobot can degrade precisely in the intended timeframe and location, providing a reliable exit strategy once the therapeutic delivery is complete.
[0061] In addition to pH sensitivity, the coating may also be temperature-sensitive, designed to react to the subtle thermal changes associated with different regions or states of the body. For example, slight temperature variations in localized areas may act as signals to initiate the degradation process, prompting the coating to gradually dissolve and release the nanobot's inner components for safe excretion or assimilation. This temperature-based trigger further supports the nanobot's ability to decompose in a controlled manner, ensuring it exits the body efficiently without leaving residues or causing inflammatory responses.
[0062]
[0063] The materials used in the degradable coating are also chosen for their ability to break down into non-toxic byproducts, which can be safely metabolized or excreted by the body. These byproducts are typically in the form of small, biocompatible molecules that the body can process naturally through metabolic pathways, thereby preventing any long-term accumulation of foreign substances. This careful selection of biodegradable, non-immunogenic materials ensures that the nanobot's lifecycle concludes safely, aligning with the body's natural processes and preventing any long-term environmental or physiological burden on the patient.
[0064] Beyond its biodegradability, the outer coating also plays a crucial role in regulating the nanobot's stability and functionality throughout its active phase. The coating's breakdown is precisely timed to occur only after the nanobot's mission is complete, providing a stable outer layer that maintains the nanobot's structure and functionality while it navigates through the bloodstream. This controlled degradation is achieved by fine-tuning the polymer composition and structural properties of the coating, ensuring it remains durable under physiological pressures and frictional forces during operation, then gradually weakens under the specific conditions that signal the end of its therapeutic task.
[0065] The integration of these biodegradable properties into the outer coating represents a significant advancement in the field of nanomedicine, as it allows the nanobot to provide highly targeted drug delivery without creating residual materials or requiring post-treatment extraction. By leveraging the body's natural environmental cues to trigger breakdown, this biodegradable coating exemplifies a sustainable approach to nanobot design, emphasizing both therapeutic efficacy and patient safety. This controlled, self-contained degradation process not only enhances the nanobot's functionality but also underscores a commitment to long-term health and minimal impact, marking a new standard in minimally invasive, precision medicine.
[0066] The coating also plays a vital role in thermal regulation, acting as a barrier that prevents the nanobot's internal components from overheating. Given the energy required to power the nanobot's AI core and propulsion system, the nanobot may generate heat during operation. The outer shell, crafted from materials with excellent thermal conductivity, dissipates this heat into the bloodstream, preventing localized temperature increases that could damage blood cells or tissues. This thermal management function is crucial for long-term operations within the body, enabling the nanobot to perform sustained drug delivery without compromising the safety or comfort of surrounding tissues.
[0067] To enable real-time monitoring and feedback, the nanobot is equipped with a wireless communication system. This component comprises micro-antenna structures embedded within the nanobot's surface, which transmit data back to an external monitoring device operated by healthcare providers. This communication system, seamlessly linked with the AI core, provides updates on the nanobot's location, biomarker detection, and operational status. The integration of the communication system with the AI core and sensor array allows for continuous data flow, enabling healthcare providers to track the nanobot's progress and make adjustments to the treatment plan as necessary.These antennas are engineered from conductive materials like nano-silver or carbon nanotubes, chosen for their strong signal strength, biocompatibility, and minimal impact on the nanobot's physical profile. This ensures that the communication system operates unobtrusively while maintaining robust connectivity in the dense and dynamic environment of the bloodstream.
[0068] The wireless communication system continuously transmits data on the nanobot's location, biomarker detection events, and operational status. This data flow is crucial, as it allows healthcare providers to track the nanobot's real-time position, observe any biomarker interactions, and monitor system diagnostics, such as battery life or propulsion efficiency. The communication system is directly linked to the AI core, which compiles and processes this information into brief data packets that can be rapidly transmitted without interference from surrounding biological tissues. This efficient data compression and transfer capability enable continuous monitoring without overwhelming the external monitoring devices or consuming excessive energy within the nanobot.
[0069] The integration between the communication system and the AI core ensures a seamless flow of critical information, enabling precise control over the nanobot's actions. When the nanobot's bio-recognition sensors-specially functionalized to bind with disease-specific biomarkers-detect target cells, this information is immediately relayed to the AI core. The AI core then interprets this sensor data, cross-checking it with previously stored target parameters, and subsequently initiates the next phase of navigation or drug release. The communication system, in turn, transmits these updates back to the healthcare provider's monitoring device, ensuring that each detection event and subsequent action can be observed and adjusted as needed. This continuous feedback loop allows for real-time adjustments, empowering healthcare providers to modify the treatment plan if necessary.
[0070] The bio-recognition sensors within the molecular sensor array function as miniature "antennas" themselves, embedded with functionalized biomolecules like antibodies or aptamers, which grant them high affinity for specific biomarkers. These sensors are fabricated from nano-scale conductive substrates that enhance signal transfer once they bind to the target biomarkers. Each bio-recognition sensor is designed with a slightly textured surface, optimized to maximize contact with the biomarker molecules and increase the likelihood of binding. This texture provides a larger surface area for interaction, effectively increasing the detection sensitivity of the nanobot. Once the sensor binds with a biomarker, it generates an electrical or biochemical signal that is sent to the AI core, triggering appropriate actions, such as adjusting the navigation or releasing the therapeutic payload.
[0071] The combination of wireless data transmission and bio-recognition sensor functionality makes the nanobot an exceptionally responsive system. When a target biomarker is detected and reported to the AI core, this information is instantly encoded by the communication system into data packets that are then transmitted externally, allowing healthcare providers to track the nanobot's exact position in relation to the diseased cells. This dual-layered system-where the bio-recognition sensors detect and the communication system reports-enables unprecedented precision in drug delivery, providing a reliable pathway for the nanobot to interact with the cellular environment in real-time while relaying live updates to the medical team.
[0072] Additionally, the wireless communication system is engineered for energy efficiency, utilizing low-power transmission protocols to conserve the nanobot's internal battery. Each micro-antenna is designed to operate at minimal energy output while maintaining a strong and stable connection with the external monitoring device, ensuring that the nanobot can continue transmitting vital data throughout its journey. This low-power design also enables the nanobot to remain in the body for extended periods without requiring retrieval for recharging, which is essential for complex treatments that may require prolonged presence within the bloodstream.
[0073] The nanobots are equipped with a miniaturized power source, which may resemble a small battery or capacitor integrated seamlessly into the nanobot's structure. This power source utilizes biocompatible materials, possibly employing rechargeable nanomaterials or energy-harvesting systems capable of converting body heat or movement into usable energy. The power source provides the necessary energy to operate the AI navigation system and communication module, ensuring that the nanobots function effectively while navigating through the bloodstream.For delivery, the nanobots will be administered using a standard intravenous injection system, which necessitates minimal modifications to existing medical protocols, thereby streamlining the integration into current practices. Finally, a monitoring setup is required within the healthcare facility to facilitate the reception of real-time data from the nanobots. This system ensures constant oversight of the nanobots' activity, allowing healthcare providers to track their progress and intervene if necessary. Together, these parameters ensure that the nanobots function effectively and safely within the patient's body.
[0074] The AI-Navigated Nanobots with Targeted Drug Delivery system functions through a complex interaction of various components, each specifically engineered to facilitate precise delivery of therapeutics to diseased cells. Prior to administration, the nanobots undergo rigorous quality control measures to ensure compliance with essential standards. This involves verifying their size, which is crucial for navigating the bloodstream, ensuring their structural integrity to prevent degradation, and confirming the functionality of their bio-recognition sensors. These steps are vital for the nanobots to perform optimally within the human body.Upon identifying a patient for treatment, the AI system embedded in the nanobots is calibrated to recognize the specific biomarkers associated with that individual. This calibration is pivotal for ensuring the nanobots can effectively target diseased cells. The process includes analyzing a blood sample from the patient to identify unique biomarker patterns indicative of the disease. Subsequently, the algorithms within the AI system are adjusted to enhance targeting precision based on the identified biomarkers, ensuring that the nanobots can accurately locate their targets.
[0075] The delivery of the nanobots occurs through a standard intravenous injection system. The healthcare provider administers the nanobots via an IV line, allowing for swift entry into the bloodstream. Once injected, the nanobots disperse throughout the circulatory system, with their biocompatible outer shell ensuring they do not provoke any adverse immune responses, thus allowing for safe circulation.After entering the bloodstream, the nanobots activate their AI navigation system, which allows them to autonomously locate diseased cells. During this phase, the AI system continuously processes real-time data, including chemical signals and biomarker patterns, while navigating through the bloodstream. As the nanobots approach potential target cells, their bio-recognition sensors become active, detecting specific biomarkers associated with diseases, such as those found in cancerous tissues or inflamed areas. Upon identifying a matching biomarker, the AI system confirms the target and directs the nanobots closer, ensuring accurate localization.
[0076] Once the nanobots arrive at the targeted diseased cells, the release mechanism is activated to deliver the therapeutic payload. The AI system initiates this release based on the recognition of the target cells, ensuring the payload is expelled only at the intended site. The therapeutic agents stored within the payload compartment are then expelled directly into the diseased cells, enabling localized delivery that maximizes drug efficacy while minimizing systemic exposure and potential side effects.Throughout this entire process, a monitoring setup within the healthcare facility continuously receives data from the nanobots. Each nanobot is equipped with a wireless communication module that transmits real-time updates regarding its location, activity, and drug delivery status. Healthcare providers can observe this data through a dedicated interface, facilitating timely interventions if needed. This oversight allows medical staff to evaluate the treatment's effectiveness based on the nanobots' performance data, enabling adjustments to therapeutic strategies when necessary.
[0077] The AI-Navigated Nanobot System for Precision Drug Delivery operates through a sophisticated, multi-stage process that integrates autonomous navigation, biomarker detection, and targeted drug release to deliver therapeutic agents precisely to diseased cells within the human body. The entire system functions as a highly coordinated unit, with each component playing a critical role in ensuring accurate, efficient, and minimally invasive treatment.
[0078] Upon entering the bloodstream, the nanobot is activated by its AI core, which serves as the command center for all functions. The AI core continuously processes data from various sensors, including environmental factors such as pH, temperature, and the presence of specific biomarkers. This real-time data interpretation allows the AI core to guide the nanobot's propulsion system, ensuring it navigates accurately through complex vascular networks to reach the target cells. The propulsion system operates on a combination of electromagnetic and chemical forces. Electromagnetic guidance provides directional control in larger blood vessels, while controlled chemical propulsion allows for subtle, finely tuned movement within narrow capillaries. This dual propulsion system enables the nanobot to move efficiently through the bloodstream with minimal disruption to surrounding tissues.
[0079] As the nanobot travels, its molecular sensor array continuously scans for biomarkers specific to diseased cells, such as cancerous cells or areas of inflammation. These bio-recognition sensors are specialized for high-affinity binding to disease markers and operate like "antennae" that detect changes in the biochemical landscape. Once the nanobot encounters a region rich in disease-specific biomarkers, the sensors relay this information to the AI core. The AI core cross-references this input with its programmed parameters, confirming that the nanobot has reached the target area. Upon confirmation, the AI core activates the therapeutic payload release mechanism. This release mechanism, housed within the payload compartment, consists of nano-valves crafted from responsive polymers that open in response to the AI core's command. The precise release of the therapeutic agents-whether in liquid or solid formulation-is controlled to ensure that only the targeted area receives the treatment, optimizing drug concentration at the disease site while minimizing exposure to surrounding healthy tissues. This targeted release ensures high efficacy and reduced side effects, making the treatment both effective and patient-friendly. Throughout this process, the nanobot's wireless communication system transmits real-time updates on its location, status, and biomarker interactions to an external monitoring device, allowing healthcare providers to monitor progress closely. This communication enables on-the-spot adjustments to the treatment strategy, such as re-routing the nanobot or modifying drug release timing in response to patient-specific needs. The data relayed by the nanobot also includes diagnostics on its operational status, which aids healthcare providers in making critical decisions during treatment. After completing the treatment, the nanobot initiates its self-degradation protocol. The outer coating, crafted from biodegradable polymers, begins to dissolve in response to specific physiological triggers, such as pH or temperature changes in the bloodstream. This degradation process enables the nanobot to dissolve or be metabolized by the body, eliminating the need for invasive retrieval and minimizing any long-term impact on the patient.
[0080] Case Study: Emergency Treatment of Sepsis using AI-Navigated Nanobot System. Suppose a 54-year-old male patient arrives at the emergency room in critical condition, presenting symptoms of severe sepsis, a life-threatening systemic infection that has begun to affect multiple organs. Conventional antibiotic treatment is deemed insufficient due to the infection's rapid progression and the patient's resistance to standard therapies. The medical team decides to deploy the AI-Navigated Nanobot System for Precision Drug Delivery to deliver high-potency antibiotics directly to the infected sites.
[0081] The nanobots, pre-loaded with a potent antibiotic cocktail, are injected into the patient's bloodstream. Upon activation, the nanobots' AI cores initiate navigation protocols, processing real-time data from their molecular sensors to detect specific inflammatory biomarkers, such as elevated cytokine levels, associated with the septic infection. Guided by the dual propulsion system, the nanobots move quickly through the bloodstream, bypassing unaffected tissues to reach areas where infection markers are strongest. The molecular sensor arrays on each nanobot continuously monitor for elevated levels of infection-specific biomarkers, allowing the nanobots to localize in infected regions with pinpoint accuracy. Once a nanobot identifies a hotspot of infection, the AI core verifies the location and signals the therapeutic release mechanism to deliver antibiotics directly into the infected tissue. This targeted release ensures that the antibiotics reach optimal concentration precisely where needed, effectively combating the bacteria while minimizing systemic exposure and potential side effects.
[0082] Throughout the treatment, the nanobots' wireless communication systems transmit real-time updates on their location and release activity to the healthcare team, enabling the team to monitor the progress and efficacy of the treatment closely. If additional adjustments are needed, such as directing more nanobots to certain critical infection sites, the team can make those modifications in real time. The targeted delivery allows the antibiotics to achieve a therapeutic effect far more rapidly than traditional intravenous methods, stabilizing the patient's condition within hours. Thanks to the precision and responsiveness of the AI-Navigated Nanobot System, the patient's infection is controlled quickly, and his vital signs stabilize within 24 hours. After completing their drug release, the nanobots initiate the self-degradation process and are safely absorbed or metabolized by the body, eliminating any need for additional procedures. The patient makes a full recovery without the side effects commonly associated with high-dose antibiotic treatments, underscoring the potential of AI-guided nanobot systems in emergency care scenarios requiring precision drug delivery.This case highlights how AI-Navigated Nanobots can provide rapid, targeted intervention in critical situations, enabling healthcare teams to achieve therapeutic effects efficiently while maintaining control over the treatment process. The system's adaptability, precision, and patient-centered approach demonstrate its transformative potential in handling complex and urgent medical cases.

[0083] While there has been illustrated and described embodiments of the present invention, those of ordinary skill in the art, to be understood that various changes may be made to these embodiments without departing from the principles of the present invention, modifications, substitutions and modifications, the scope of the invention being indicated by the appended claims and their equivalents.



FIGURE DESCRIPTION

[0084] The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate an exemplary embodiment and explain the disclosed embodiment together with the description. The left and rightmost digit(s) of a reference number identifies the figure in which the reference number first appears in the figures. The same numbers are used throughout the figures to reference like features and components. Some embodiments of the System and methods of an embodiment of the present subject matter are now described, by way of example only, and concerning the accompanying figures, in which

[0085] Figure 1 demonstrates the line diagram of the AI-guided nanobot consist of central AI processing core is positioned centrally within the nanobot, serving as the command unit that processes incoming sensor data, makes navigational adjustments, and controls therapeutic actions. This AI core is crucial for real-time decision-making, guiding the nanobot based on continuously analyzed environmental and biomarker information to ensure accurate targeting. At the rear of the nanobot lies the propulsion mechanism, responsible for navigation through the bloodstream. Using a combination of electromagnetic and chemical forces, this mechanism allows the nanobot to move efficiently and precisely, navigating various vascular networks while minimizing impact on surrounding tissues. Its adaptability ensures that the nanobot can access narrow and complex pathways to reach diseased sites effectively. On the outer surface, the molecular sensor array is integrated, composed of bio-recognition sensors designed to detect specific biomarkers associated with diseased cells. These sensors actively monitor the biochemical environment, identifying target cells based on biomarker patterns, and relay this data to the AI core to confirm proximity to the target site. At the front of the nanobot is the therapeutic payload compartment, constructed to securely store therapeutic agents. This compartment is made from biocompatible and biodegradable polymers and is controlled by the AI core to release the payload only upon reaching the diseased cells. This compartment is built to operate without piercing or physically disrupting tissues. Instead, it uses nano-valves and pores made from responsive polymers to release the therapeutic agents in a controlled and gradual manner. This release occurs directly into the bloodstream or at the diseased cell's membrane surface, depending on proximity, without requiring any puncturing action. This design ensures precise drug dispensation directly at the target site, maximizing treatment efficacy while minimizing systemic exposure. Embedded throughout the surface of the nanobot is the wireless communication system, equipped with micro-antenna structures. This system enables real-time data transmission to an external monitoring device, allowing healthcare providers to monitor the nanobot's position, operational status, and biomarker detection in real-time. , Claims:1. An autonomous nanobot system for precision drug delivery, comprising:
a. an AI processing core autonomously directs the nanobot's movement and therapeutic actions within a biological environment, based on real-time biomarker data;
b. a propulsion mechanism integrated with said AI processing core, wherein said propulsion mechanism operates via a combination of electromagnetic and chemical propulsion methods, enabling directed navigation through vascular networks while minimizing interaction with surrounding tissues;
c. a molecular sensor array affixed to the outer surface of the nanobot, comprising bio-recognition sensors configured to detect biomarkers specific to diseased cells, wherein said molecular sensor array relays biomarker data to said AI processing core to facilitate identification of target cells;
d. a therapeutic payload compartment constructed from biocompatible, biodegradable polymers, configured to securely contain therapeutic agents, wherein said compartment is responsive to release signals from said AI processing core; and
e. a wireless communication system operatively linked to said AI processing core, comprising micro-antenna structures embedded within the nanobot's surface, wherein said communication system transmits real-time location, biomarker detection, and operational status data to an external monitoring device operated by healthcare providers;
f. wherein said autonomous nanobot system is adapted to perform targeted drug delivery by navigating to target cells within a human body, detecting specific biomarkers associated with diseased cells, and releasing therapeutic agents exclusively at target sites in response to said biomarkers, thereby optimizing treatment efficacy while minimizing systemic side effects.
2. The autonomous nanobot system as claimed in claim 1, wherein the propulsion mechanism comprises electromagnetic responsive nanoparticles integrated within the nanobot structure, configured to respond to externally applied magnetic fields, enabling directional navigation in larger vascular passages.
3. The autonomous nanobot system as claimed in claim 1, wherein the propulsion mechanism includes a catalytic chemical propulsion element, comprising nanostructured catalytic surfaces configured to generate propulsion via reactions with blood-borne molecules, allowing for controlled navigation in microvascular environments.
4. The autonomous nanobot system as claimed in claim 1, wherein the therapeutic payload compartment comprises nano-valves composed of responsive polymers, wherein said nano-valves are configured to undergo conformational changes upon receiving biochemical or electrical signals from said AI processing core, thereby initiating controlled release of the therapeutic payload at the target site.
5. The autonomous nanobot system as claimed in claim 1, wherein the molecular sensor array includes pH-sensitive sensors configured to detect variations in local pH levels, wherein said pH-sensitive sensors are adapted to generate signals to the AI processing core when encountering altered pH environments, thereby aiding in the localization of inflamed or cancerous tissues.
6. The autonomous nanobot system as claimed in claim 1, wherein the outer coating of the nanobot is biodegradable, comprising responsive polymers configured to degrade in response to physiological triggers such as pH shifts or temperature changes, wherein said degradation process allows the nanobot to be safely absorbed or metabolized by the body post-treatment, thereby eliminating the need for invasive retrieval.
7. The autonomous nanobot system as claimed in claim 1, wherein the molecular sensor array includes fluorescent resonance energy transfer (FRET) sensors adapted to emit fluorescent signals upon binding to specific biomarkers, wherein said FRET sensors provide biomarker concentration data to the AI processing core, allowing for dosage adjustments in therapeutic release based on target cell density.
8. The autonomous nanobot system as claimed in claim 1, wherein the therapeutic payload compartment is segmented, enabling storage of multiple therapeutic agents configured for combination therapy, wherein said compartment selectively releases each agent based on specific biomarker detection signals relayed by the AI processing core.

Documents

NameDate
202421081720-EVIDENCE OF ELIGIBILTY RULE 24C1f [30-10-2024(online)].pdf30/10/2024
202421081720-FORM 18A [30-10-2024(online)].pdf30/10/2024
202421081720-FORM 3 [30-10-2024(online)].pdf30/10/2024
202421081720-FORM-5 [30-10-2024(online)].pdf30/10/2024
202421081720-COMPLETE SPECIFICATION [26-10-2024(online)].pdf26/10/2024
202421081720-DRAWINGS [26-10-2024(online)].pdf26/10/2024
202421081720-FORM 1 [26-10-2024(online)].pdf26/10/2024

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