Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple STS datasets, the model consistently separated patients into low-risk and ...
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 ...
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