Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.

Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition Facility ...

Mount Sinai researchers used a clinical and biomedical text processing model at six hospitals to analyze triage data and ...

Hydrological prediction is crucial for water resource management, flood/drought prevention, and climate adaptation. While traditional physics-based ...

Using artificial intelligence, MIT researchers have come up with a new way to design nanoparticles that can more efficiently ...

From self-driving cars to facial recognition, modern life is growing more dependent on machine learning, a type of artificial ...

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

The Random-Forest model was validated in 28,670 veterans (mean age, 67 years; 96% men; median MELD-Na,15), with an inpatient mortality of 4% (1158 patients).