Artificial Intelligence
Lunit: Newly published study in collaboration with Japan's NCCHE reveals how AI-powered HER2 and tumor microenvironment analysis improves patient stratification and clinical outcome predictions SEOUL, South Korea, Jan. 23,...
Pramana: clinically validated whole-slide imaging system transforms pathology data into valuable knowledge for pathologists, physicians, and researchers CAMBRIDGE, Mass.--(BUSINESS WIRE)--Pramana, Inc., an AI-enabled health...
JelloX: First shared at a recent Japanese Society of Digital Pathology meeting, the company is forging a global alliance with a leading US medical institution and other organizations to harness technology for better patient care and outcomes in...
ROCHESTER, Minn. — Against the backdrop of the 43rd Annual J.P. Morgan Healthcare Conference, Mayo Clinic announced the formation of Mayo Clinic Digital Pathology, designed on a platform architecture to boldly unlock the power of its...
From the Proscia Blog: By Ajay Basavanhally Machine learning models are revolutionizing cancer outcome predictions by analyzing vast amounts of patient data to identify patterns and insights that traditional methods often miss. However,...
HALO AP® is an AI-powered, pathologist-driven diagnostic pathology platform for primary diagnosis, remote working, and other routine workflows in anatomic pathology. Download this white paper to learn about the real-world examples of...
