Using biochemical markers such as estimated glomerular filtration rate (eGFR) and proteinuria improved precision, reaching accuracies near 98% when aligned with kidney disease improving global ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...

Machine learning with whole-cell patch-clamp and local field potential recordings reveals that synaptic responses from five mossy cells, despite their limited population, can significantly reconstruct ...

The global chemical industry produces hundreds of long, repeating molecular chains called polymers. Only a handful comprise the majority of the planet’s plastic products, but all are difficult to tell ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in disease pathway discovery.

The assets comprise two data centres in Boston and Minneapolis, along with eight other facilities in Dallas, Tulsa, Nashville, Raleigh, Toronto, and Montreal.

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of parameters, and specialized architectures like convolutional neural ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Proteomic techniques now measure thousands of ...