Recent breakthroughs in artificial intelligence are accelerating drug discovery, genomics, and immunotherapy development. A novel AI-powered model BATMAN outperforms existing tools in predicting T cell receptor cross-reactivity, crucial for designing safer TCR-based cancer therapies. Additionally, new AI methods predict mRNA translation efficiency, enhancing mRNA-based drug and vaccine development. Computational frameworks using plain-language hypothesis grammar enable virtual multi-cellular modeling, promising advances in cancer treatment personalization. These innovations underscore the integration of machine learning into biological research, driving precision medicine forward.