Researchers have developed a multimodal foundation model called oFM, designed to represent patient states over time in oncology. This model integrates clinical data with DNA, RNA, and H&E pathology information from over 1.67 million cancer patients. The oFM demonstrated significant improvements in predicting treatment response, progression-free survival, and overall survival, outperforming baseline features in prognostic benchmarks and comparative-treatment cohorts. Additionally, a framework built on oFM embeddings can link predicted outcomes to clinically relevant mechanisms, aiding in clinical and drug-development applications. AI
影响 This model could significantly improve patient outcomes and accelerate drug development in oncology by providing deeper insights into cancer evolution and treatment response.
排序理由 The cluster contains a research paper detailing a new multimodal foundation model for oncology. [lever_c_demoted from research: ic=1 ai=1.0]
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