Cutting-edge AI technologies continue to revolutionize biotechnology, as exemplified by several breakthroughs. MIT researchers developed a generative AI model that proposed over 10 million novel antibiotic structures, with promising candidates validated experimentally. Meanwhile, Ginkgo Bioworks, Inductive Bio, and Tangible Scientific combined AI-driven lab-in-the-loop workflows to streamline drug discovery, integrating predictive chemistry, compound management, and rapid ADME profiling. Furthermore, machine learning applications in radiogenomics enable noninvasive prediction of kidney cancer biomarkers, and AI-enhanced continuous glucose monitoring systems support weight management. Collectively, these advances showcase AI’s transformative impact across biomedical research, diagnostics, and therapeutic development.