New AI-based tools are accelerating drug discovery and protein research by modeling complex biological processes with enhanced speed and accuracy. Microsoft Research unveiled BioEmu, a generative deep learning model that simulates equilibrium protein ensembles rapidly, outperforming traditional molecular dynamics simulations. Separately, research published in Nature Biotechnology demonstrated the use of integrated high-content screening datasets within a shared latent space to predict small-molecule functions across different resources. These AI-driven methods offer transformative potential for phenotypic screening and structure-function analyses in biotech research.