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MATHEMATICAL TECHNIQUES COMBINED WITH AI FOR ENHANCED DRUG DISCOVERY AND CLINICAL TRIALS
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 20 November 2024
Abstract
Mathematical Techniques Combined with AI for Enhanced Drug Discovery and Clinical Trials is the proposed invention. The proposed invention focuses on understanding the functions of Clinical Trials. The invention focuses on analyzing the parameters of Mathematical Techniques for Enhanced Drug Discovery using algorithms of AI Approach.
Patent Information
Application ID | 202441090340 |
Invention Field | BIO-MEDICAL ENGINEERING |
Date of Application | 20/11/2024 |
Publication Number | 48/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Dr R M Lavanya | Associate Professor, Department of Humanities and Sciences, GATES Institute of Technology, Gooty- 515401 | India | India |
Balasekhar Janamanchi | Associate Professor and Head of Humanities & Sciences Department, ACE Engineering College, Ghatkesar, Hyderabad- 501301 | India | India |
Dr G. Kiruthika | Associate Professor &Head, Mathematics, KSR College of Engineering, Thiruchengode- 637215 | India | India |
Dr Vinita Dewangan | Associate Professor, Department of Mathematics, Mats School of Engineering and Information Technology, Mats University, Raipur- 492001 | India | India |
Gokul K | Assistant Professor, Department of CSE (Integrated), Erode Sengunthar Engineering College, Erode- 638057 | India | India |
Dr Karunaiah Bonigala | Associate Professor, Department of ECE, SRI Indu College of Engineering and Technology, Hyderabad- 501510 | India | India |
D Aruna Kumari | Assistant Professor, Department of ECE, SIIET, Ranga Reddy- 501510 | India | India |
G Bhavana | Associate Professor, Department of CSE, Aits, Tirupati- 517520 | India | India |
B. Sridevikalyani | Assistant Professor, Department of Mathamatics, SVCE, Tirupathi- 517507 | India | India |
P. Subhash Chandra Bose | Professor, Department of Pharmaceutics, MNR College of Pharmacy, Sangareddy- 502294 | India | India |
S. Rekha | Assistant Professor, Department of Mathematics, Dr.SNS Rajalakshmi College of Arts and Science, (Autonomous), Coimbatore | India | India |
K Vetri | Assistant Professor, Department of Mathematics, Velalar College of Engineering and Technology, Thindal, Erode- 638012 | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Dr R M Lavanya | Associate Professor, Department of Humanities and Sciences, GATES Institute of Technology, Gooty- 515401 | India | India |
Balasekhar Janamanchi | Associate Professor and Head of Humanities & Sciences Department, ACE Engineering College, Ghatkesar, Hyderabad- 501301 | India | India |
Dr G. Kiruthika | Associate Professor &Head, Mathematics, KSR College of Engineering, Thiruchengode- 637215 | India | India |
Dr Vinita Dewangan | Associate Professor, Department of Mathematics, Mats School of Engineering and Information Technology, Mats University, Raipur- 492001 | India | India |
Gokul K | Assistant Professor, Department of CSE (Integrated), Erode Sengunthar Engineering College, Erode- 638057 | India | India |
Dr Karunaiah Bonigala | Associate Professor, Department of ECE, SRI Indu College of Engineering and Technology, Hyderabad- 501510 | India | India |
D Aruna Kumari | Assistant Professor, Department of ECE, SIIET, Ranga Reddy- 501510 | India | India |
G Bhavana | Associate Professor, Department of CSE, Aits, Tirupati- 517520 | India | India |
B. Sridevikalyani | Assistant Professor, Department of Mathamatics, SVCE, Tirupathi- 517507 | India | India |
P. Subhash Chandra Bose | Professor, Department of Pharmaceutics, MNR College of Pharmacy, Sangareddy- 502294 | India | India |
S. Rekha | Assistant Professor, Department of Mathematics, Dr.SNS Rajalakshmi College of Arts and Science, (Autonomous), Coimbatore | India | India |
K Vetri | Assistant Professor, Department of Mathematics, Velalar College of Engineering and Technology, Thindal, Erode- 638012 | India | India |
Specification
Description:[0001] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0002] Mathematical techniques refers to a collection of methods and tools used to solve problems by applying mathematical principles, including concepts like calculus, algebra, statistics, and linear algebra, to analyze and model real-world situations, often used in fields like engineering, physics, and economics; essentially, it's the practice of using mathematics to solve complex problems through specific calculation methods and approaches.
[0003] A number of different types of drug discovery analysis systems that are known in the prior art. For example, the following patents are provided for their supportive teachings and are all incorporated by reference.
[0004] WO2023245301A1: This invention is a method, system, and platform for risk management and decision support in pharmaceuticals, including strategic portfolio management, regulatory affairs, clinical drug development, pharmacoeconomic, investment strategy optimization, risk management, due diligence for mergers and acquisitions, and the stock market. The system uses artificial intelligence and diverse data from open and private sources, including clinical trials, regulatory decisions, economic data, pharmacological data, and corporate data. It integrates multiple decision-making modules for clinical development, such as clinical risk, regulatory risk, pharmacological risk, and economic risk. This network of risk factors generates predictive and prescriptive information for strategic decision-making.
[0005] Artificial intelligence (AI) is a set of technologies that allow computers to perform tasks that mimic human cognitive functions. AI can recognize images and translate spoken and written language. AI can analyze large amounts of data from various sources, such as smart sensors, monitoring tools, and human-generated content. AI can make recommendations and suggestions. The proposed invention focuses on analyzing the Mathematical Techniques for Enhanced Drug Discovery through algorithms of AI Approach.
[0006] Above information is presented as background information only to assist with an understanding of the present disclosure. No determination has been made, no assertion is made, and as to whether any of the above might be applicable as prior art with regard to the present invention.
[0007] In the view of the foregoing disadvantages inherent in the known types of drug discovery analysis systems now present in the prior art, the present invention provides an improved system. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved AI techniques with mathematics for drug discovery and clinical trials that has all the advantages of the prior art and none of the disadvantages.
SUMMARY OF INVENTION
[0008] In the view of the foregoing disadvantages inherent in the known types of drug discovery analysis systems now present in the prior art, the present invention provides an improved one. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved AI techniques with mathematics for drug discovery and clinical trials which has all the advantages of the prior art and none of the disadvantages.
[0009] The Main objective of the proposed invention is to design & implement a framework of AI techniques for analyzing the parameters of Mathematical Techniques for Enhanced Drug Discovery. Mathematical Techniques Combined with AI is analyzed.
[0010] Yet another important aspect of the proposed invention is to design & implement a framework of AI techniques that will consider on understanding the functions of Clinical Trials. Mathematical Techniques Combined with AI is analyzed by predictive unit. The results of prediction are displayed on the display unit.
[0011] In this respect, before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the various ways. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[0012] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be had to the accompanying drawings and descriptive matter in which there are illustrated preferred embodiments of the invention.
BRIEF DESCRIPTION OF DRAWINGS
[0013] The invention will be better understood and objects other than those set forth above will become apparent when consideration is given to the following detailed description thereof. Such description makes reference to the annexed drawings wherein:
Figure 1 illustrates the schematic view of Mathematical Techniques Combined with AI for Enhanced Drug Discovery and Clinical Trials, according to the embodiment herein.
DETAILED DESCRIPTION OF INVENTION
[0014] In the following detailed description, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that the embodiments may be combined, or that other embodiments may be utilized and that structural and logical changes may be made without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims and their equivalents.
[0015] While the present invention is described herein by way of example using several embodiments and illustrative drawings, those skilled in the art will recognize that the invention is neither intended to be limited to the embodiments of drawing or drawings described, nor intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention covers all modification/s, equivalents and alternatives falling within the spirit and 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 scope of the description or the claims. As used throughout this description, the word "may" be used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Further, the words "a" 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 intended 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 for the purpose of providing a context for the present invention.
[0016] In this disclosure, whenever an element or a group of elements is preceded with the transitional phrase "comprising", it is understood that we also contemplate the same element or group of elements with transitional phrases "consisting essentially of, "consisting", "selected from the group consisting of", "including", or "is" preceding the recitation of the element or group of elements and vice versa.
[0017] Enhanced drug discovery refers to the utilization of advanced technologies, particularly artificial intelligence (AI) and machine learning, to significantly improve the efficiency and accuracy of the drug discovery process, allowing researchers to identify potential drug candidates faster, with better predicted efficacy, and at a lower cost compared to traditional methods; essentially, using computational tools to streamline and optimize the identification and development of new drugs.
[0018] Clinical trials are prospective biomedical or behavioural research studies on human participants designed to answer specific questions about biomedical or behavioural interventions, including new treatments (such as novel vaccines, drugs, dietary choices, dietary supplements, and medical devices) and known interventions that warrant further study and comparison. Clinical trials generate data on dosage, safety and efficacy. The proposed invention focuses on implementing the algorithms of AI Approach for studying the functions of Clinical Trials.
[0019] Reference will now be made in detail to the exemplary embodiment of the present disclosure. Before describing the detailed embodiments that are in accordance with the present disclosure, it should be observed that the embodiment resides primarily in combinations arrangement of the system according to an embodiment herein and as exemplified in FIG. 1
[0020] Figure 1 illustrates the schematic view of Mathematical Techniques Combined with AI for Enhanced Drug Discovery and Clinical Trials 100. The proposed invention 100 includes clinical trails 101 and drug delivery channels 102 for analysis purposes. The analysis unit 103 will take data from both clinical trails and drug delivery 102. The database 104 from analysis unit 104 and sends it to artificial intelligence unit 105. The predictive unit 106 will predict the possibilities along with mathematical models 107 and display the results on display unit 108.
[0021] In the following description, for the purpose of explanation, numerous specific details are set forth in order to provide a thorough understanding of the arrangement of the system according to an embodiment herein. It will be apparent, however, to one skilled in the art that the present embodiment can be practiced without these specific details. In other instances, structures are shown in block diagram form only in order to avoid obscuring the present invention.
, Claims:1. Mathematical Techniques Combined with AI for Enhanced Drug Discovery and Clinical Trials, comprises of:
Analysis unit;
Display unit and
Predictive unit.
2. Mathematical Techniques Combined with AI for Enhanced Drug Discovery and Clinical Trials, according to claim 1, includes an analysis unit, wherein the analysis unit will take data from both clinical trials and drug delivery.
3. Mathematical Techniques Combined with AI for Enhanced Drug Discovery and Clinical Trials, according to claim 1, includes a display unit, wherein the display unit will display the results of predictive unit.
4. Mathematical Techniques Combined with AI for Enhanced Drug Discovery and Clinical Trials, according to claim 1, includes a predictive unit, wherein the predictive unit will predict the possibilities along with mathematical models.
Documents
Name | Date |
---|---|
202441090340-COMPLETE SPECIFICATION [20-11-2024(online)].pdf | 20/11/2024 |
202441090340-DRAWINGS [20-11-2024(online)].pdf | 20/11/2024 |
202441090340-FORM 1 [20-11-2024(online)].pdf | 20/11/2024 |
202441090340-FORM-9 [20-11-2024(online)].pdf | 20/11/2024 |
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