Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
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This Tiny Device Could Help Save Millions From Food Poisoning
The electric nose device developed by UC Berkeley engineers. (Brandon Sánchez-Mejia/UC Berkeley) If you wind up with an upset ...
Smartwatches may transform blood sugar tracking, but today’s advances depend on CGMs, AI, and regulated health tech ...
The box from the Finnish company MedicubeX is now being used in various care scenarios. In an interview with heise online, founder and CEO Vili Kostamo discusses the company's latest projects, ...
The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...
“This PIC Packaging Center of Competency at C2MI, launched in collaboration with Aeponyx and our partners, helps turn advanced integrated photonics into repeatable, industrial-grade capabilities in ...
A new study presents an artificial intelligence system that scans images of the retina to detect signs of diabetes, high ...
Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...
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