Artificial Intelligence and Computational Pharmacology: Transforming Drug Discovery and Development

This chapter examines how machine learning, deep learning, and artificial intelligence-driven platforms are reshaping the landscape of drug discovery, target identification, virtual screening, and clinical trial design. It reviews the pharmacological applications of in silico modeling, multi-omics data integration, and AI-assisted pharmacovigilance, and discusses the opportunities and limitations of computational approaches in advancing drug development pipelines.