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Cardiac fibroblasts (CF) can become activated and produce excessive extracellular matrix, contributing to fibrotic remodeling ...
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Fill-in-the-blank training primes AI to interpret health data from smartwatches and fitness trackersAtrial fibrillation is a common type of irregular heart rhythm, and leaving it untreated can lead to a stroke. One way to automatically detect atrial fibrillation is to train a machine learning ...
A research team from Helmholtz Munich, the Technical University of Munich (TUM) and the TUM University Hospital has developed ...
Researchers' modelling suggests that the tests could prevent one heart attack or stroke for approximately every 500 people tested. As part of the study, a team analysed anonymised health data from ...
Machine learning identified microplastic concentration as a top predictor of stroke prevalence, highlighting its potential health impact. While causality is not proven, the findings emphasize the ...
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