Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...
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 ...
Blood proteins can reveal the biological age of different cell types. Accelerated cellular aging was linked to a higher risk ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
A UK Biobank study of nearly 390,000 people mapped 251 NMR-derived plasma metabolic traits against hundreds of health traits, ...
A researcher at LSU Health Shreveport has been awarded a grant of just over $200,000 to study how to predict and prevent heat ...
Adverse neighborhood conditions in early adulthood may raise the risk of early cardiovascular disease decades later.
If you liked this story, share it with other people. In 2024, a group of researchers with the U.S. Centers for Disease Control (CDC) used machine learning to analyze 24 Ebola outbreaks between 2001 ...
Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.
Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.
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