Machine Learning in Drug Discovery: Accelerating Pharmaceutical Research

Abstract

Machine learning (ML) has revolutionized the pharmaceutical industry, particularly in the domain of drug discovery. By applying advanced ML techniques to vast biological and chemical data sets, pharmaceutical researchers are able to identify promising drug candidates faster, more accurately, and with greater efficiency. This article explores the applications of ML in drug discovery, focusing on its role in predicting molecular activity, optimizing drug design, and improving clinical trial outcomes. The paper also discusses the challenges and future directions for integrating ML into the pharmaceutical research pipeline.