AI Reads Tumor Slides to Predict Melanoma Gene Mutations, Offering Faster Targeted Therapy Triage
A new study shows that AI models trained on routine pathology slides can predict BRAF mutation status in melanoma patients ...
A new study shows that AI models trained on routine pathology slides can predict BRAF mutation status in melanoma patients ...
Transplantation researchers argue that AI in transplant medicine consists of many narrow, single-purpose tools rather than one monolithic system, and ...
An Ecuadorian research team has built HistoBreastCAD, an integrated deep learning framework that segments tissue regions, classifies breast histopathology into ...
A new explainable AI pipeline converts breast histology classifiers' evidence into auditable, region-level attribution maps and fully reproducible SOAP-style clinical ...
A large autopsy-based analysis of U.S. Alzheimer's research centers finds that progressive supranuclear palsy pathology is far more common than ...
A new review in the Journal of Translational Medicine finds that autonomous agentic AI systems are technically feasible in computational ...
A Brazilian study found that an AI model's measure of HER2 staining heterogeneity within breast cancer samples predicts where pathologists ...
A new study finds that the YOLO12s deep learning model detects mitotic figures in whole-slide breast cancer images with F1-scores ...
An exploratory study of 61 breast cancer patients found only weak, statistically fragile links between regional tumor immune-stromal composition and ...
Using machine learning on tissue from 84 Alzheimer's disease cases, researchers have mapped six distinct amyloid-beta plaque types across 23 ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine