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Advancing cancer detection and treatment using longitudinal routine clinical data

Liu et al. develop Oncoformer, a multimodal transformer that reads routine laboratory tests and chest X-rays already collected in everyday care. Across more than 3.6 million individuals, it detects cancer, infers tumor stage, and stratifies treatment response and recurrence risk, pointing toward risk-adapted cancer care built on data already in hand.
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LUMI-lab: A foundation model-driven autonomous platform enabling discovery of ionizable lipid designs for mRNA delivery

LUMI lab is a foundation model-driven self-driving platform that autonomously discovers ionizable lipids for mRNA delivery. Iterative active learning uncovered brominated tails as a potent structural motif that enables efficient and safe pulmonary mRNA delivery.
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