1 publication

• Published Subscription Original Research 1 Aug 2025

  Accelerating Drug Discovery with AI: Transforming the Pharmaceutical Pipeline

  By Aditya Pratap Singh, Akanksha Dwivedi, G.N. Darwhekar

  Abstract: The revolutionary potential of artificial intelligence (AI) is examined in this essay the pharmaceutical industry, highlighting its application across the drug development lifecycle. Artificial Intelligence, specifically via deep learning models and machine learning (ML) such as GANs, RNNs, and transformers, enhances drug discovery, formulation, toxicity prediction, and clinical trials. It streamlines processes like identification of targets, virtual screening, modelling of structure-activity relationships, and medication repurposing. AI is also employed in …

  Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 77–84 Read article →