Innovations in artificial intelligence (AI) and computational methods are increasingly transforming biotechnology research and drug development. Cold Spring Harbor Laboratory introduced BATMAN, an AI model leveraging a large TCR-peptide interaction database (BATCAVE) to predict T cell receptor cross-reactivity, aiding safer immunotherapy design. Separately, the Baker lab used AI to engineer protein binders targeting diverse peptide-MHC complexes for scalable precision immunotherapy, a breakthrough published in Science. Indiana University and U Maryland researchers developed a plain-language computational framework to predict multicellular systems biology, facilitating virtual cell laboratories and cancer response modeling. Additionally, novel AI platforms accelerate mRNA-based therapeutic design and predict stem cell differentiation efficiency, optimizing drug discovery and regenerative medicine. These advances underscore AI's growing role in precision biotech solutions.