Introduction Machine Learning (ML) is transforming the landscape of drug discovery, offering new approaches to accelerate the process, reduce costs, and improve success rates. This overview explores the intersection of ML and drug discovery, highlighting key applications, benefits, challenges, and future directions. Key Applications of ML in Drug Discovery Target Identification and Validation: Analyzing genomic and proteomic data to identify potential drug targets (Vamathevan et…
