Can machine learning automatically detect important changes in a material’s Fermi surface from complex and noisy data?
The study, published in Nature Medicine, shows that future risk of 18 obesity-related diseases can be predicted using 20 ...
April 30, 2026 OBSCORE – a tool to identify individuals at highest risk of obesity-related complications . Obesity is a major global health challenge, with 60-70 per cent of adu ...
Data tool could help NHS prioritise who gets access to limited weight-loss medication, say scientists ...
A simple tool, developed by Researchers from Queen Mary University of London and the Berlin Institute of Health at Charité, could help identify which people living with obesity or overweight are most ...
Recent studies indicate that combining AI’s analytical capabilities with human expertise can improve the accuracy and effectiveness of student success initiatives. Interpretable machine learning ...
Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...
The rapid advances in machine learning (ML) and artificial intelligence (AI) are transforming biology and opening new directions for scientific inquiry.
Fifteen years ago, we started building Conductrics to give teams a better way to run experiments. A lot has changed in the industry since then. To mark this milestone, we are reflecting on where the ...
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