New AI models revolutionize understanding of protein dynamics and cellular gene networks, enhancing drug discovery and disease research. Microsoft Research developed BioEmu, a generative deep learning system that rapidly predicts protein conformations emulating molecular dynamics. Concurrently, Columbia University and the Chan Zuckerberg Initiative released GREmLN, a graph-based AI model that captures complex gene regulatory networks, outperforming prior foundation models. These breakthroughs promise accelerated therapeutic development by improving predictions of protein function and cellular behavior.