Traditional drug discovery is a long, costly, and high-risk process. Machine Learning has emerged as a powerful solution by enabling predictive modeling, molecular screening, and optimization of drug candidates. In this blog, we discuss how ML algorithms are used in molecular docking, clinical trials, and precision medicine, and how AI-driven approaches are reducing development time while improving drug safety and effectiveness.
