Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning
Deep transfer learning methodologies reveal hidden heterogeneity in β-cells driven by type 2 diabetes and obesity.
Delphi-2M reads your medical history like a language model reads text—and forecasts health problems 20 years out with ...
Delphi-2M is about 76% accurate in predicting a person’s next likely health problem, and it maintains around 70% accuracy even when looking 10 years into the future. The research also found that, when ...
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