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AI trained on sleep data predicts future disease and mortality years in advance
By Tarun Sai Lomte By learning hidden physiological patterns from overnight sleep studies, a new AI foundation model reveals ...
Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...
17hon MSN
Pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients
When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
New York Magazine on MSN
Did AI Alter the Course of This Baby’s Life?
When Jorie Kraus was diagnosed with an incurable rare disease, two young researchers created an AI tool to find a treatment.
A team of industry leaders and the University of North Dakota are targeting the nation’s $966 billion chronic disease ...
There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...
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 ...
Menopause, when a woman’s period ceases, is a stark example of the consequences of ovarian aging. It occurs when the ovaries ...
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 ...
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