HealthcareMachine Learning2 min reading time

When pathology segmentation learns to listen

Nature
Read full post
Researchers have developed a pathology segmentation model guided by natural language, enabling the system to connect pathological terms with image content to create semantic masks. This approach aims to make computational pathology more flexible, interpretable, and aligned with human expertise.

More in Healthcare

UK Is Urged to Overhaul Regulation of AI-Medical Devices

Covered by 2 sources
Healthcare6 min read

NYU-DRP AI Model Predicts Five-Year Breast Cancer Risk From 3D Mammograms

Unite.AI

Google DeepMind releases AlphaGenome Atlas, a 1PB dataset of predicted molecular effects for all ~9B possible single-letter DNA changes in the human genome (Google)

Covered by 4 sources