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Microsoft Research and the Broad Institute, with support from Dana-Farber Cancer Institute, are collaborating on Project Ex Vivo to use AI for better understanding cancer cell states and advancing precision oncology.
This paper proposes JoPMol, a jointly controlled precision molecular generative model that integrates gene expression profiles, molecular structure text, and chemical properties to generate personalized drug candidates, outperforming state-of-the-art methods.
This paper presents HCC-STAR, a clinically aligned large language model for risk stratification and treatment guidance in hepatocellular carcinoma, aiming to improve precision therapy by leveraging electronic medical records.
This survey reviews the role of knowledge graphs in medicine across five key domains—clinical decision support, disease prediction, health recommender systems, precision medicine, and medical question answering—discussing applications, challenges, and future directions.
Scientists have achieved startling precision in editing genes within human embryos, marking a significant advancement in genetic engineering.
This paper introduces COAST, a causal-intelligence framework for designing constraint-aware interventions that drive complex systems between states, integrating causal discovery, modeling, and multi-objective optimization to identify minimal effective interventions with mechanistic rationales.