News-Medical.Net

Machine learning predicts who will decline faster in Alzheimer’s disease using routine clinic data

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
EurekAlert!

Worcester Polytechnic Institute identifies new tool for predicting Alzheimer’s disease

Worcester Polytechnic Institute (WPI) researchers have identified a promising tool for early detection of Alzheimer's disease using machine learning and brain scans to predict the disease with nearly ...
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 ...
Science Daily

We may be overestimating the association between gut bacteria and disease, machine learning study finds

Many bacterial-linked illnesses, such as inflammatory bowel disease or colorectal cancer, are associated with an overgrowth of gut bacteria thought to be bad actors. But when researchers used a ...