Generic placeholder image

Current Indian Science

Editor-in-Chief

ISSN (Print): 2210-299X
ISSN (Online): 2210-3007

Review Article

Role of Artificial Intelligence in Pharmaceutical Drug Development

Author(s): Aditya Narayan, Arsh Chanana*, Oma Shanker, Yukta R. Kulkarni, Pooja Gupta, Akhilesh Patel, Ujwal Havelikar, Ravindra Pal Singh and Himmat Singh Chawra

Volume 2, 2024

Published on: 10 July, 2024

Article ID: e2210299X313252 Pages: 9

DOI: 10.2174/012210299X313252240521111358

Price: $

Abstract

One of the most popular sectors in the tech and healthcare industries right now is artificial intelligence. In the search and development of new drugs, artificial intelligence is essential. Drug design using computer-assisted design (CADD) has supplanted the traditional approach. Artificial intelligence is assisting businesses in the development of new drugs in a faster, more affordable, and more efficient manner, saving money and manpower in the process of creating new drug molecules to treat any disease. Quantitative structure-activity relationship (QSAR) analysis, activity scoring, in silico testing, biomarker development, and mode of action identification are all aided by artificial intelligence. It is revolutionizing these sectors by swiftly identifying potential drug candidates, efficiently conducting clinical trials, and customizing patient care. AI optimizes drug manufacturing processes, augments safety monitoring, and streamlines market analysis. In clinical trials, AI streamlines patient recruitment and ensures more precise trial designs, leading to faster and more efficient research. AI empowers personalized medicine by tailoring treatment plans and drug dosages to individual patient characteristics. AI also optimizes pharmaceutical manufacturing processes, amplifies safety monitoring by analyzing real-time data for adverse events, and supports market analysis and sales strategies. AI in the pharmaceutical industry is a multifaceted tool. Artificial Intelligence (AI) has the potential to streamline complex pharmaceutical regulatory matters. Regulatory processes like audits and dossier completion can be automated with AI tools.


Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy