At least 12 of my colleagues boarded planes to the American Society of Clinical Oncology conference in Chicago last week to ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Man’s best friend may become cancer’s worst enemy.

Analyzing the widening delta between algorithmic polyp tracking and actual reductions in interval colorectal cancer ...

Proceeds will support continued commercial expansion, operational scale-up, clinical study execution, and product development * Clinical oncology ...

Scientists have identified a blood-based protein signature that can predict lung cancer risk more than five years before ...

Researchers at MUSC Hollings Cancer Center have developed a machine learning tool to identify cancer patients who may be at high risk for financial toxicity – the financial stress and hardship that ...