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 model that could expedite the use of nanomaterials in biomedical applications.

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

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

PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology We used an innovative machine learning approach to analyze ...

New AI Model Can Predict Blood Loss In Liposuction. New Delhi, Dec 26 (IANS) A newly developed artificial intelligence (AI) ...

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 ...

Scholars analyze how the use of machine learning could reshape EPA drinking water standards.