An artificial intelligence (AI) system that combines breast cancer tissue images with molecular marker data achieves high ...

Researchers at the Faculty of Information Technology at the University of Jyväskylä have used artificial intelligence to speed up the analysis of colorectal cancer samples and predict the functioning ...

Pediatric oncology is rapidly advancing through precision therapeutics, biomarker-informed trials, and adaptive treatment strategies designed to improve ...

For Rita Wilson, body positivity isn't all sunshine and rainbows. The actress and country music singer, who was diagnosed with breast cancer in 2015, opened up about how the health battle impacted her ...

Kevin Liu was diagnosed with acute lymphoblastic leukemia, which spread to his brain, in 2022. He documented his appearance throughout the journey by taking and posting photos of himself Kevin Liu ...

Share on Pinterest New research links a common pesticide to epigenetic changes that may relate to colorectal cancer. Image credit: Getty Images A new study suggests that environmental and lifestyle ...

SAN DIEGO, APRIL 20, 2026 ― An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center demonstrated the ability to accurately predict responses ...

Donna Gustafson had a harder time than usual shaking off the jet lag from her 22-hour journey from Florida to Australia. Two days into her trip, her skin took on the yellow hue of jaundice. Subscribe ...

Just a few weeks after President Donald Trump’s December promise that prescription drug prices would plummet "fast and furious," Patricia Brown checked into a California clinic for an infusion of ...

Share on Pinterest Evidence suggests that AI tools assisting dermatologists can improve diagnostic performance for skin cancer. Image credit: PER Images/Stocksy A study suggests that artificial ...

AstraZeneca isn’t letting a death in a China trial detract from the potential of its $1 billion in vivo bet, even as the candidate’s safety and efficacy profile have so far failed to separate it from ...

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 ...