Adverse neighborhood conditions in early adulthood may raise the risk of early cardiovascular disease decades later.
Dubious data sets are being used to train artificial-intelligence models that are designed to predict people’s risk of stroke and diabetes, researchers report in a preprint 1 on medRxiv. Some of the ...
Scientists have identified a blood-based protein signature that can predict lung cancer risk more than five years before diagnosis. Powered by AI and validated across global datasets, the breakthrough ...
For decades, medicine looked at the human body in parts. The heart belonged to cardiologists, the brain to neurologists, and ...
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, ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...
Founded by Ashish Sonkusare, Shailendra Narwade and Vidhi Gaur, eVerse.AI is using AI, IoT, and blockchain to tackle some of dairy farming's biggest challenges. Through smart cattle collars, a ...
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 ...
Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
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