EurekAlert!

Multimodal learning-based prediction for nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Multiple Sclerosis News Today

Machine learning model can predict PIRA in first years of MS diagnosis

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
News-Medical.Net on MSN

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

Deep learning algorithm uses mammograms and age for heart disease prediction

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...
EurekAlert!

Biomarker discovery for metabolic dysfunction-associated steatotic liver disease utilizing Mendelian randomization, machine learning, and external validation

We identify six causal molecular biomarkers (e.g., CNPY4, ENTPD6, HLA-A) and eight clinical biomarkers (e.g., serum total protein) for MASLD across various independent cohorts. Serum total protein ...
AZoRobotics

Detecting Alzheimer’s Early: Machine Learning’s Role in Neurological Imaging

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...