A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Researchers developed and externally validated a machine learning model to predict the 28-day mortality risk in ICU patients ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Multiple myeloma is a cancer in which plasma cells, which normally produce antibodies, multiply uncontrollably in the bone marrow. There is currently no cure. However, various therapies can stabilize ...

Artificial intelligence (AI) refers to computer systems designed to perform tasks that require human intelligence, while machine learning (ML) is used to learn patterns from data and subsequently ...

A Yale research team has created a new imaging technique that reveals the hidden connections between aging, disease, and genetic activity in human cells. Using a novel machine learning approach, the ...

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 ...

Researchers at the University of California, San Francisco have found that machine-learning analysis of brain waves recorded during sleep can identify women at risk of cognitive decline up to five ...