Under the mentorship of Ph.D. student Venkatesh Sivaraman, Ziyong Ma spent the summer developing a tool designed to help clinicians query medical databases without needing programming expertise.
Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The ...
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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 ...
News-Medical.Net on MSN
AI model can predict a person's disease risk using sleep data
A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
SINGAPORE, Dec 17 (Reuters) - In a high-security Shenzhen laboratory, Chinese scientists have built what Washington has spent years trying to prevent: a prototype of a machine capable of producing the ...
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AI is learning to decode diseases hidden in your DNA
Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were invisible to doctors and researchers only a few years ago. Instead of ...
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Power over Parkinson’s: Learning to overcome
MONTEREY – The Power Over Parkinson’s community is no stranger to adversity. The Monterey-based nonprofit serves people fighting the unpredictable and debilitating symptoms of Parkinson’s disease.
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