Version 1
: Received: 28 May 2021 / Approved: 31 May 2021 / Online: 31 May 2021 (09:59:30 CEST)
How to cite:
Bajpai, S.; Shreyash, N.; Sonker, M.; Gupta, V.; Tiwary, S.K.; Biswas, S. Concept of Artificial Intelligence in Discovering and Re-Purposing of Drugs. Preprints2021, 2021050726. https://doi.org/10.20944/preprints202105.0726.v1
Bajpai, S.; Shreyash, N.; Sonker, M.; Gupta, V.; Tiwary, S.K.; Biswas, S. Concept of Artificial Intelligence in Discovering and Re-Purposing of Drugs. Preprints 2021, 2021050726. https://doi.org/10.20944/preprints202105.0726.v1
Bajpai, S.; Shreyash, N.; Sonker, M.; Gupta, V.; Tiwary, S.K.; Biswas, S. Concept of Artificial Intelligence in Discovering and Re-Purposing of Drugs. Preprints2021, 2021050726. https://doi.org/10.20944/preprints202105.0726.v1
APA Style
Bajpai, S., Shreyash, N., Sonker, M., Gupta, V., Tiwary, S.K., & Biswas, S. (2021). Concept of Artificial Intelligence in Discovering and Re-Purposing of Drugs. Preprints. https://doi.org/10.20944/preprints202105.0726.v1
Chicago/Turabian Style
Bajpai, S., Saurabh Kr Tiwary and Susham Biswas. 2021 "Concept of Artificial Intelligence in Discovering and Re-Purposing of Drugs" Preprints. https://doi.org/10.20944/preprints202105.0726.v1
Abstract
Artificial Intellignece (AI) is a platform lending immense assistance in discovering and developing drugs and thus, various such approaches have been developed with the intent of simplifying and improving biomedical operations such as drug repurposing and drug discovery. In the past decade, AI-based investigation of nanomedicines, as well as non-nanomedicines has reached the clinical level. In semblance with the traditional methods of therapy, nanomedicine therapy is employed at limited doses. The study of a variety of drugs resulted in the conclusion that the effect of each drug is variable for every patient and, evaluating that perfect drug combination manually is a time-consuming as well as an inefficient treatment method. Therefore, the use of AI simplifies and reduces the time consumption in determining the perfect customized drug combination for nano-therapy. The area with the most potential for meeting this reality is to optimize the drug and dosage parameters. It is a universally known fact that cancer is dangerous and unique because of the exacting challenges it poses during treatment and, to achieve a better treatment, the therapeutic effect on each patient must be delineated even if the volume of data generated is massive. The article aims at analyzing the AI technologies that help yield results much quicker, make the analyses simple, and efficient.
Keywords
Artificial Intelligence; Drug Delivery; Cancer; Nanomedicines; Therapeutic
Subject
Medicine and Pharmacology, Immunology and Allergy
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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