SYSTEM/METHOD TO SUGGEST AYURVEDIC DRUGS AND FORMULATIONS FOR A DISEASE/ PHARMACOLOGICAL PROPERTY BASED ON THE AYURVEDIC CLASSICAL BOOKS/REPOSITORIES

Abstract

Artificial intelligence powers "AyurEase," a website that simplifies the process of finding the right Ayurvedic medications and formulations for a specific ailment or set of symptoms. The user's input, either text or image, will then undergo analysis by the Natural Language Processing (NLP) and Machine Learning (ML) algorithms. This userfriendly website features an artificial intelligence chatbot that can take input from the user. Machine learning algorithms use the disease or symptoms as a parameter to determine the appropriate Ayurvedic treatments from our database. Preprocessed and structured data on ayurvedic medications and formulations are included in the database, together with the essential descriptions of these substances (which may contain several names for the same condition, chemical formulations, references, and clinical specifications). The website utilizes natural language processing (NLP) to produce a text output that accurately describes Ayurvedic remedies, including their compatibility with specific ailments, if applicable. This occurs once the medicine has been identified. It is also possible to use our website to find the Ayurvedic medication stores that are closest to you. A complete knowledge base on Ayurveda is also available through the website's information center, which additionally gives access to the website. 5 Claims & 1 Figure

Specification

Description:SYSTEM/METHOD TO SUGGEST AYURVEDIC DRUGS AND FORMULATIONS FOR A DISEASE/ PHARMACOLOGICAL PROPERTY BASED ON THE AYURVEDIC CLASSICAL BOOKS/REPOSITORIES
Field of the Invention
Computer aided Ayurvedic Pharmacology System for Drug and Formulation Recommendations based on Ayurvedic Classical Texts and Repositories.
Objectives of the Invention
Our innovative software is designed to bridge the gap between Ayurvedic wisdom contained within a vast repository of classical texts and the practical needs of modern Ayurvedic students, practitioners, and enthusiasts. The primary objective of this innovation is to simplify and enhance the process of identifying the most suitable Ayurvedic drugs and formulations for specific diseases or pharmacological properties.
Background of the Invention
The genesis of this innovative software can be traced back to the rich tradition of Ayurveda, one of the world's oldest holistic healthcare systems. Ayurveda, originating in ancient India, has for millennia offered profound insights into the use of herbs, minerals, and formulations to address a wide spectrum of human health conditions. These insights are embedded within a vast collection of classical texts, spanning different languages and scripts, making Ayurvedic knowledge a treasure trove for those seeking natural and holistic healthcare solutions.
However, while Ayurvedic wisdom has stood the test of time, accessing and deciphering this vast repository of knowledge has posed significant challenges. Here's the background that led to the development of our innovative software:
Additionally, (US2020/0085311A1) presents systems and methods for identifying the occurrence of a transient ischemic attack (TIA). In one example, a device measures first and second signals that indicate photoplethysmogram signals at the left and right regions of a user's head (PPGSL and PPGSR, respectively). Computers can tell when someone is having a TIA by looking at PPGSL and PPGSR patterns that include (i) an imbalance between the two that is below a certain level for a period of time that lasts more than one day; (ii) an imbalance between the two that is higher than the threshold during a period that follows the first period and lasts between 5 and 180 minutes; and (iii) an imbalance between the two that falls below the threshold during the last period that follows the second period.

The invention described in (US2012/8193201B2) presents formulations consisting of a fraction separated or produced from hops with methylxanthine. Furthermore, the invention provides compositions consisting of a hop fraction and a curcuminoid. The invention also provides methods for utilizing such compositions to reduce inflammation.

The document (US2020/0085312A1) presents systems and methods for sensing physiological responses utilizing several types of photoplethysmography sensors. The system can identify physiological responses such as allergic reactions, strokes, migraines, stress, specific emotional responses, pain manifestations, and blood pressure variations. In one example, a headmounted contact photoplethysmography device quantifies a signal representative of the photoplethysmogram at a designated area comprising exposed skin on the user's head (PPG signal). A camera positioned over 10 mm from the user's head gathers photos of a secondary area that encompasses exposed skin on the user's head. A computer figures out the body's response by looking for two things: (i) imaging photoplethysmogram signals (iPPG signals) that can be seen in the pictures; and (ii) connections between the PPG signal and the iPPG signals.
Furthermore (US2010/7662638B2), the current invention delineates a methodology for chromatographic fingerprinting, chemical and therapeutic standardization, and fingerprint barcoding, along with the establishment of a database for Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) applications pertaining to both conventional and traditional medicines. This invention encompasses a softwarebased instrumental approach and introduces a novel technique for fingerprinting and standardization aimed at achieving the aforementioned objectives. The suggested chromatographic fingerprinting method makes it possible to connect standardization methods used in traditional medicine with the chemical makeup of medicines and humors. This gives us a way to make sense of the methods used for this purpose.
This health supplement contains a variety of compounds from different categories, such as antiaging agents, antioxidants, vitamins, minerals, and elemental substances like metals. We specifically design the supplement to optimize the synergistic interaction of its constituents while mitigating any detrimental interactions among them. The supplement adopts a comprehensive approach to health by incorporating components that support all bodily systems. The supplement functions as a prelude to antiaging by targeting all human body systems, suggesting that detoxification and oxidation management may reverse the effects of aging, as detailed in (US2009/0110674A1).
The present invention (US2014/0134261A1) pertains to pharmaceutical compositions that include esters of capsaicin and at least one additional agent chosen from salicylates, menthol, boswellic acids, DMSO, methyl sulfonylmethane, NSAIDs, corticosteroids, emu oil, opioid agonists and antagonists, NMDA antagonists, tramadol, hyaluronic acid, α2δ ligands, santalol, santalyl acetate, amyris alcohol, amyris acetate, aloe vera gel, and aloe vera juice, aimed at enhancing therapeutic efficacy. The current invention pertains to pharmaceutical formulations containing elevated quantities of capsaicin esters. The current invention involves a method of relieving pain resulting from various diseases in individuals through the use of the pharmaceutical compositions outlined in this document. The current invention focuses on methods of relieving fever blisters caused by cold sores in individuals through the administration of pharmaceutical compositions. These compositions include an ester of capsaicin and an additional substance selected from santalol, santalyl acetate, amyris alcohol, and amyris acetate.
Summary of the Invention
These obstacles and opportunities inspired our creativity. We saw great opportunity in connecting old Ayurvedic wisdom to modern demands. We use digital technology and data analytics to simplify Ayurvedic knowledge access, understanding, and application. This software will improve Ayurvedic treatment and make modern therapies safer and more effective.
Digitization of Ayurvedic manuscripts has helped preserve and spread this ancient wisdom in recent years. With transcriptional and translational technologies, many Ayurvedic writings from manuscripts and languages are now available online. Digitalization has made information more accessible, enabling datadriven Ayurvedic practice. Despite digitization, Ayurvedic writings' volume and intricacy still challenge students and practitioners. Navigating this literature, which cover many themes and languages, takes time and skill. Ayurvedic practitioners have struggled to get relevant and useful knowledge.
The holistic approach to healthcare in Ayurveda considers individual variables, disease types, and regional differences. The holistic perspective means not all therapies are suitable for all people or conditions. Thus, a system that tailors recommendations to a patient's individual traits and disease or symptoms is in need. Ayurvedic medicine can be safe and holistic when done properly. Contraindications, compatibility, and side effects of treatments are also part of Ayurvedic knowledge. Accessing and comprehending this information is essential for Ayurvedic treatment safety and efficacy.
Detailed Description of the Invention
It is an innovative project that aims to revolutionize the practice of Ayurveda, which is an old holistic healthcare approach. The Ayurvedic Formulation Recommendation Software is an example of this. Ayurveda has been a source of natural healing and wellbeing for thousands of years. It may be attributed to its vast collection of classical writings as well as its richness of information regarding herbs, minerals, and formulas. However, the development of this program was prompted by the complexity and volume of Ayurvedic literature, as well as the requirement for recommendations that are both individualized and aware of the environment in which they are being used. The software will make use of sophisticated data mining and retrieval techniques in order to retrieve pertinent information from more than 150 historic Ayurvedic texts that have been digitized. The information presented here includes specifics of individual herbs, minerals, and compound compositions, as well as the applications of these substances.
The software aims to bridge traditional Ayurvedic wisdom with modern technological capabilities by providing reliable, personalized Ayurvedic drug and formulation recommendations based on wellestablished Ayurvedic classical texts. Ayurveda, an ancient Indian system of medicine, offers a holistic approach to health, focusing on the balance of mind, body, and spirit, along with individualized treatment plans. With the increasing global interest in traditional and holistic medicine, such a software application could serve as a valuable tool for health practitioners, researchers, and the general public.
At the core of this software lies a comprehensive digital database compiled from classical Ayurvedic texts like Charaka Samhita, Sushruta Samhita, and Ashtanga Hridayam. These texts are foundational in Ayurveda and contain extensive information on medicinal herbs, formulations, and treatments for various diseases and conditions. The database organizes this information into categories such as diseases, pharmacological properties, doshas (body energy types), and treatment guidelines.
The software enables users to input specific health concerns, symptoms, or diseases. They may also indicate other factors like their constitution (Prakriti) or specific dosha imbalances. Based on this input, the software matches the symptoms or disease information with the most relevant Ayurvedic formulations stored in its database, offering personalized recommendations in alignment with Ayurvedic principles.
To ensure that recommendations are accurate and relevant, the software employs algorithms designed to process Ayurvedic knowledge systematically. These algorithms analyze the user's input and filter through the database to find matches based on factors like disease compatibility, pharmacological properties, dosage forms, and known efficacy. Additionally, the system could integrate machine learning to continually refine recommendations by considering historical user data and feedback, enhancing the reliability of suggestions.
Once the software identifies potential Ayurvedic drugs and formulations, it provides comprehensive information on each recommendation. This could include details like:
Herb Names and Properties: The primary herbs or ingredients and their medicinal properties, according to Ayurveda. Dosage and Administration: Suggested dosage based on user's age, condition, and constitution, along with administration guidelines. Preparation and Usage Instructions: How the recommended formulation should be prepared and used for maximum efficacy. Potential Side Effects: Information on contraindications or any potential side effects. Compatibility with Other Treatments: Guidance on whether the formulation can be safely combined with other treatments, especially modern medications.
Integrating an artificial intelligence (AI) module allows the software to continuously learn and improve its recommendations over time. AI can help the system adapt by incorporating user feedback, analyzing the effectiveness of recommended formulations, and integrating newly available Ayurvedic research. By keeping the database updated, the software remains a relevant and reliable source of Ayurvedic recommendations.
This software can serve various user groups, including: Practitioners and Ayurvedic Doctors: Supporting them with quick references to classical texts for treatment planning. Pharmacological Researchers: Assisting researchers with data on Ayurvedic formulations that can be useful for drug discovery. General Users: Enabling individuals to explore personalized Ayurvedic options for their health concerns under professional guidance.
Data Verification and Quality: Ayurvedic knowledge is highly nuanced, so the information sourced from classical texts must be rigorously verified by qualified Ayurvedic practitioners. Integration of Ayurvedic Principles with User Diversity: The software must consider varying user backgrounds, health conditions, and tolerance levels to ensure effective and safe recommendations. Regulatory and Ethical Standards: Given the sensitive nature of health recommendations, the software must comply with relevant health regulations and ethical standards, possibly limiting it as a supplementary resource rather than a sole source of treatment guidance.
This software provides a unique blend of Ayurvedic tradition and modern technology, offering personalized, evidence based Ayurvedic drug and formulation suggestions. By drawing on Ayurvedic classical books, the system could expand access to holistic health solutions while respecting the complexity and individuality of each user's health profile. As it develops, the software has the potential to enrich both traditional and modern healthcare practices, enhancing the way people approach and manage their health through Ayurveda.
5 Claims & 1 Figure
Brief description of Drawing
In the figure which are illustrate exemplary embodiments of the invention.
Figure 1, System Architecture of Proposed method. , Claims:The scope of the invention is defined by the following claims:

Claim:
1. A system/method to the software that suggests ayurvedic drugs and formulations for a disease/pharmacological property based on the ayurvedic classical books/repositories, said system/method comprising the steps of:
a) The system starts by ingesting data from the Ministry of Ayush Website (1), where Ayurvedic data, including disease names and medications, is available in tabular format (2). This data is then made accessible to the public through our web platform (3).
b) The structured database serves as the foundation for generating personalized recommendations for specific diseases or pharmacological properties (4), accessible to users through our web platform (5).
c) The developed system the software issues certificates of authenticity (6) for the recommended Ayurvedic drugs and formulations, associating them with specific disease names or pharmacological properties.
2. As stated in claim 1, the system collaborates with the Ministry of Ayush Website to acquire Ayurvedic data in tabular format, making this information publicly accessible through our web platform.
3. As per claim 1, our software utilizes advanced algorithms to analyze the classical texts and repositories, extracting valuable data about Ayurvedic drugs and formulations. This structured database serves as the foundation for generating personalized recommendations for specific diseases or pharmacological properties, accessible to users through our web platform.
4. As per claim 1, wherein the software additionally provides detailed information on each suggested Ayurvedic formulation, including preparation, administration guidelines, potential side effects, and compatibility with other treatments.
5. According to claim 1, an artificial intelligence component continuously updates the recommendations by integrating new research and insights on Ayurvedic formulations to ensure alignment with current standards and findings in Ayurvedic practice

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