A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...
3don MSN
A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction
Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a urine-based ...
Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...
A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
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