Advances in AI and computational technologies are reshaping biotech R&D and diagnostics. NIH researchers unveiled GeneAgent, an LLM-powered gene-set analysis tool that autonomously verifies predictions against curated databases, reducing inaccuracies. At Stanford, AI-driven virtual labs simulate scientific collaboration to accelerate biological discoveries. Separately, researchers developed DynaTag, a method for high-resolution mapping of transcription factor binding in single cells. Additionally, Trinity Biotech introduced an AI-powered wearable biosensor integrating glucose monitoring with cardiovascular and temperature data, exemplifying innovation in health technology.