• Integration of AI and computational modeling accelerates drug discovery by predicting drug-target interactions and optimizing lead compounds.
• High-throughput screening and advanced assay technologies enable rapid identification of potential drug candidates from large compound libraries.
• Translational challenges, including target validation and predictive toxicology, remain critical barriers to clinical success.
• Collaborative frameworks and adaptive regulatory pathways are essential for expediting the development of innovative therapies.