A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Development and validation of a webcam-based tool to assess tongue motility and its correlation with speech intelligibility and swallowing following tongue cancer surgery. Time Window AUC Brier Score ...

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

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 ...

A recent study reveals that bacteria residing within colorectal tumors form distinct ecosystems closely linked to disease ...