ISSN: 2329-6631
Liang Zhao*
Artificial Intelligence (AI) has emerged as a transformative force in the pharmaceutical industry, particularly in the early stages of drug discovery. The traditional drug discovery process is often time-consuming, costly, and fraught with high failure rates. AI- driven approaches, through machine learning, deep learning and natural language processing, offer a paradigm shift by accelerating the identification of drug candidates, optimizing molecular structures, and predicting pharmacokinetics and toxicity profiles more accurately.
Published Date: 2025-03-04; Received Date: 2025-02-03