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AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
A team of industry leaders and the University of North Dakota are targeting the nation’s $966 billion chronic disease ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management hinges on early diagnosis, which is often impeded by non-specific symptoms and ...
Introduction Maternal and child mortality has markedly decreased worldwide over the past few decades. Despite this success, the decline remains unequal across countries and is overall insufficient to ...
Md Firoz Kabir, a PhD researcher in Information Technology, is emerging as a leading voice in artificial intelligence-driven ...
1don MSN
Machine learning identifies factors that may determine the age of onset of Huntington's disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...
News Medical on MSN
Using AI to understand the age of disease onset in Huntington's patients
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona (UBneuro) has applied advanced artificial intelligence techniques to better ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
8hon MSN
UB pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients
Co-authors are Md. Mohaimenul Islam, research assistant professor in UB’s Department of Pharmacy Practice, and researchers at ...
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