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 new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
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, ...
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 ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
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