Advances in artificial intelligence (AI) and machine learning (ML) continue to revolutionize biotech research and diagnostics. New models combine large language models to synthesize causal evidence across diverse study designs, enabling more robust scientific conclusions. In medical imaging, federated learning frameworks now effectively enable cross-vendor collaboration while preserving data privacy, enhancing diagnostic accuracy. Precision agriculture benefits from vision foundation models enabling near-unsupervised crop segmentation, improving efficiency and reducing costs. Additionally, AI-driven protein evolution platforms accelerate directed evolution thousands of times faster than natural processes, promising breakthroughs in therapeutics. These innovations demonstrate AI's expanding role as a transformative force in biosciences and healthcare.