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ML-driven surveillance systems can flag early signals of disease outbreaks by detecting non-linear trends and hidden ...
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The Brighterside of News on MSNNew machine learning program accurately predicts who will stick with their exercise programStaying active is one of the most important things you can do for your health. Regular exercise helps you live longer, lowers ...
To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes. That’s where ...
14h
News-Medical.Net on MSNNew machine learning model brings transparency to risk prediction in medulloblastomaMedulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To ...
Using machine learning and brain scans, researchers found that accelerated brain aging increases the impact of cognitive risk ...
7d
News-Medical.Net on MSNMachine learning identifies key lifestyle factors for healthy brain functionA new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that ...
Mass. maternal health researchers want to expedite the detection of postpartum depression risk, starting in the delivery room ...
New data out of ambient AI documentation vendor Ambience states that the technology can help rake in an additional $13,049 ...
Americans are wary of AI in health insurance, especially for claims. This article explores what people trust, what they don’t, and why it matters.
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...
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