A new long-term prediction tool estimates the risk of dying from prostate cancer, offering a more accurate way to interpret ...

In this cohort study, a novel prognostic model was developed to estimate prostate cancer-specific mortality (PCSM) while ...

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

A Stanford AI model trained on nearly 600,000 hours of sleep data can assess future risk for dementia, heart disease and more ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...

An AI sleep foundation model SleepFM can now forecast diseases like cancer, dementia, and heart attack risk, revealing ...

Neoantigens are unique markers that distinguish only cancer cells. By adding B cell reactivity, cancer vaccines can move ...

This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...

A University of Cambridge researcher will use a £99,965 grant from Cancer Research UK to help doctors distinguish which tiny ...