We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

COLUMBUS, Ohio – Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with ...

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the scientific journal ...

Pancreatic ductal adenocarcinoma is one of the most lethal cancers, in large part because it usually stays hidden until it ...

According to the World Health Organization, in 2018, cancer was "the second leading cause of death, accounting for an estimated 9.6 million deaths, or 1 in 6 deaths," fueling decades of relentless ...

Researchers conducted a review of studies on AI use in oncology nursing to determine its potential role in clinical practice.

BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

Artificial Intelligence–Based Model Exploiting Hematoxylin and Eosin Images to Predict Rare Gene Mutations in Patients With Lung Adenocarcinoma We trained and tested ML systems that predict a ...