Predicting Breast Cancer Treatment Response with Integrated Imaging and Pathology AI

MedAI Digest
MedAI Digest
Predicting Breast Cancer Treatment Response with Integrated Imaging and Pathology AI
Loading
/

A new explainable AI system combining MRI and tissue pathology predicts breast cancer response to neoadjuvant therapy before treatment begins, enabling personalized treatment strategies.

Original paper: Radiopathomic Graph Deep Learning for Multiscale Spatial-Contextual Modeling of Intratumoral Heterogeneity to Predict Breast Cancer Response to Neoadjuvant Therapy. — Radiology. Artificial intelligence. 10.1148/ryai.250760

📄 Read the article

Leave a Reply

Your email address will not be published. Required fields are marked *

CAPTCHA


Trending now

Quantitative pathology and APOE genotype reveal dementia risk and progression in Lewy body disease.
APOE Genotype and Protein Pathology Shape Dementia Risk in Lewy Body Disease
Transfer-learning guided design of high-performance conjugated polymers for low-voltage electrochemical transistors.
Machine Learning Accelerates Discovery of Ultra-Low-Voltage Polymers
AI-guided multi-omics analysis identifies NPC1-modulated susceptibility to SARS-CoV-2 infection under PM2.5 exposure.
Air Pollution and COVID-19: How NPC1 Mediates SARS-CoV-2 Infection Risk
Personalized artificial intelligence based left ventricular ejection fraction and systolic dysfunction assessment.
ECG-Based AI Models Enable Cost-Effective Cardiac Function Assessment