AI Predicts Breast Cancer Recurrence From Routine Tissue Slides
New AI model analyzes standard pathology slides to predict cancer recurrence risk, potentially replacing expensive genetic tests.
396 articles in this topic
New AI model analyzes standard pathology slides to predict cancer recurrence risk, potentially replacing expensive genetic tests.
Bireociclib plus fulvestrant significantly improved outcomes in advanced hormone-positive breast cancer patients.
A pediatric oncologist reflects on living with multiple cancers throughout his career and life.
Leading epidemiologists respond to concerns about methodological limitations in research linking ultraprocessed foods to cancer risk.
New research reveals obesity prevention as an underutilized strategy that could significantly reduce cancer risk across multiple types.
New PRIME model identifies high-risk patients using standard health records, achieving 75% accuracy in predicting pancreatic cancer.
New approach targets specific cancer sites in advanced lung cancer patients, potentially improving outcomes.
New study reveals optimal timing strategy for combining radiation and immunotherapy treatments in advanced lung cancer patients.
New study shows stereotactic radiotherapy protects cognitive function while treating brain metastases effectively.
Study reveals how the words we use about cancer may influence patient outcomes and survival rates.
New analysis reveals potential methodological flaws that could undermine findings about ultraprocessed foods and cancer risk.
New AI framework analyzes cancer tissue samples 10x faster with 20x less data transfer, enabling real-time surgical decisions.