This study shows that a blood-based metabolomic signature linked to maternal BMI predicts gestational diabetes and ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...