Drug Discovery: From Target Identification to AI-Powered Screening

Artificial intelligence (AI) is transforming traditional drug development by enabling faster, cost-effective, and more accurate discovery processes. AI-based technologies such as machine learning, deep learning, and predictive modelling help identify drug targets, screen compounds, and optimize lead molecules with greater precision. By analysing large datasets and uncovering patterns often missed by conventional methods, AI minimizes research timelines, reduces development failures, and improves decision-making across preclinical and clinical stages. This review summarizes the major applications, benefits, and future potential of AI in modern drug discovery and development.