A framework to evaluate machine learning crystal stability predictions
Bergerhoff, G., Hundt, R., Sievers, R. & Brown, I. D. The inorganic crystal structure data base. J. Chem. Inf. Comput....
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Machine learning method improves accuracy of inverse protein folding for drug design
Mask-prior-guided denoising diffusion (MapDiff) for inverse protein folding. Credit: Nature Machine Intelligence (2025). DOI: 10.1038/s42256-025-01042-6 An AI approach developed by...
Hybrid time series and machine learning models for forecasting cardiovascular mortality in India: an age specific analysis | BMC Public Health
The dataset classified about heart disease-related fatalities in India into distinct age brackets: 0–5, 6–15, 16–49, 50–69, and 70 + . The...
GenAi and machine learning vital to operational efficiency in unconventional fields
During a June 10 special session at the Unconventional Resources Technology Conference (URTeC) in Houston, panelists discussed the latest advancements...
Development of machine learning models for gait-based classification of incomplete spinal cord injuries and cauda equina syndrome
Data collectionIn this study, we used gait data collected from 2013 to 2021 at Chungnam National University Hospital from patients...
Comparison of spatial prediction models from Machine Learning of cholangiocarcinoma incidence in Thailand | BMC Public Health
Data collection and study areaThe retrospective cohort analytical study examined 554 sub-districts across four regions of Thailand (northern, central, northeastern,...
