Recent expansions of artificial intelligence applications in biopharma encompass drug discovery, precision medicine, and diagnostic tools. Innovations include machine learning frameworks improving inverse protein folding accuracy for drug design and integration of AI in point-of-care biosensing to enable rapid diagnostic tests without expert analysis. Collaborative developments between AI companies and diagnostics platforms are enhancing personalized medicine through pharmacogenomics. Despite rapid progress, challenges in infrastructure buildout and data interpretation remain critical topics among industry leaders.