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 ...

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.

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...