A machine-learning tool built from Swedish national health registry data can predict hip fracture risk with high accuracy ...
Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand ...
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments. Inverse protein folding is a critical ...
Artificial intelligence (AI)-based analysis of facial video images can rapidly and accurately detect undiagnosed high blood ...
NTT Research and NTT R&D scientists presented 12 papers at ICML 2025, one of the world’s most prestigious conferences on AI and machine learning. Three papers co-authored by NTT Research Physics of AI ...
A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...
Machine learning doesn't replace human intelligence, but it can outlast human endurance, which makes it a helpful tool for ...
Correctly distinguishing between related neurodegenerative diseases remains challenging for clinicians, because reliable markers do not yet exist for many disorders. In the July 22 Neurology, ...
STATESBORO, Ga., Oct. 25, 2024 (GLOBE NEWSWIRE) -- Cemil Emre Yavas and his research team have achieved a remarkable 97.97% accuracy in earthquake prediction for Los Angeles, a high-risk seismic zone, ...
Better the devil you know ...” That’s a worst-case scenario outlook. The best case is an angel you know. But what if that ...
An earnings forecast that proves to be even moderately off target on the low side can damage a company's stock price in the short term, and the effects of big misses can last for weeks or months.
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