AI and machine learning models are advancing multiple facets of biomedical research and healthcare. Notably, an AI framework developed by Karolinska Institutet and Yale University improves pathologists’ tumor-infiltrating lymphocyte assessments, increasing diagnostic accuracy in skin cancer. Separately, Google DeepMind released AlphaGenome, a foundation model that integrates multiple genomic prediction tasks with state-of-the-art performance, including gene expression and chromatin accessibility. This unified AI platform outperforms existing tools and promises to transform genomic variant interpretation, accelerating precision medicine initiatives.