AI enables precision medicine with early detection of Alzheimer’s disease risk.
Researchers at the University of California, San Francisco (UCSF) recently developed an AI algorithm that can identify patients at risk for developing Alzheimer’s disease up to seven years in advance, according to a study published last week in Nature Aging.
The researchers reported that their AI models predicted Alzheimer’s disease up to seven years in advance with 72% accuracy.
The predictive capabilities of artificial intelligence (AI) machine learning are enabling disease prediction and accelerating precision medicine in an effort to improve patient outcomes. Alzheimer’s disease (AD), an incurable neurodegenerative disease, is the most common form of dementia… Continue reading.
...Machine Learning (ML) experts from around the world have come together to build two successful predictive models for preterm birth risk as part of the first March of Dimes DREAM Challenge. The effort’s findings were recently published in Cell Reports Medicine.
Led by Dr. Marina Sirota at the University of California, San Francisco Prematurity Research Center (PRC), this project is one of a handful of DREAM Challenges happening annually as part of a not-for-profit initiative of the same name that uses crowd-sourced competitions to advance research related to biology and disease. The March of Dimes challenge was focused on the prediction of preterm birth, which is one of the leading causes of infant death in the U.S., and the prevention of which is central to March of Dimes’ mission to fight for the health of all moms and babies… Continue reading.
...WASHINGTON, D.C. — The American Institute for Medical and Biological Engineering (AIMBE) has announced the election of Marina Sirota, Ph.D., Associate Professor, Bakar Computational Health Sciences, University of California, San Francisco to its College of Fellows. Dr. Sirota was nominated, reviewed, and elected by peers and members of the AIMBE College of Fellows for outstanding contributions leveraging clinical and molecular data in the context of therapeutics and diagnostics.
The College of Fellows is comprised of the top two percent of medical and biological engineers in the country. The most accomplished and distinguished engineering and medical school chairs, research directors, professors, innovators, and successful entrepreneurs comprise the College of Fellows. AIMBE Fellows are regularly recognized for their contributions in teaching, research, and innovation. AIMBE Fellows have been awarded the Nobel Prize, the Presidential Medal of Science and the Presidential Medal of Technology and Innovation, and many also are members of the National Academy of Engineering, National Academy of Medicine, and the National Academy of Sciences… Continue reading.
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