Among 101,243 patients at a cancer center, those with brown fat had fewer cardiovascular and psychiatric diagnoses; machine learning quantified brown fat activity in about 8,700 people, showing higher activity, especially in the axillary depot, tracked with lower odds of type 2 diabetes and coronary disease, and led to losartan as an activator in mice.
Microsoft Research introduces Quine, a research system combining a world model of biology trained jointly across modalities including sequence, structure, function, cellular state, and imaging with a harness connecting scientific tools, literature, the wet lab, and researchers; with the Broad Institute it used the system in pancreatic ductal adenocarcinoma (PDAC) to predict and prioritize thousands of compounds by their potential to shift tumor cells between therapeutically relevant states, wet-lab assays showed Quine's highest-ranked compounds produced the largest intended shifts, the whole process from narrowing the search space to prioritizing a handful of candidates took just one weekend, and the experiments also bore out the model's prediction of a distinct third phenotype.
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