Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Doctors treating ICU patients on ventilators face a constant challenge regarding nutrition. Now, an AI system can help.
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
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AI-driven assistant calculates best injection molding settings and explains decisions in multiple languages
Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a ...
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