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.
2don MSN
Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication
Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Delirium, an acute and fluctuating disturbance of attention and cognition, affects millions of patients worldwide annually. It is particularly prevalent ...
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