digital pathology Archive — Page 1 of 1

Stack of translucent specimen slides in a yellow holder beside colorful fiber-optic light trails and a digital circuit-board background.
June 23, 2026

New framework renders AI trustworthy for cancer subtyping

As trustworthiness takes center stage in medical AI, a new paper in Nature Biomedical Engineering describes a solution for trustworthy AI cancer subtyping.

Portrait of Alice Coogan, a smiling woman with short brown hair wearing a purple jacket, white blouse, gold earrings, and a pendant necklace.
October 29, 2025

Alice Coogan to retire; Adam Seegmiller to succeed as chair of Pathology, Microbiology and Immunology

The Department of PM&I continues to be one of the leading and most innovative of its kind in the nation.

Several blue-labeled sample tubes marked with codes including “T104-A,” “T106-A,” and “T118-A” stand in a black laboratory rack, with additional tubes blurred in the background.
February 3, 2025

Digital pathology aims to unlock secrets hidden in tissue samples

The pilot project, which is expected to digitize 500,000 slides over three years, aims to open avenues for research, assist with access to whole-slide images for education and clinical meetings (of tumor boards, for example), and facilitate planning for the implementation of digital pathology for diagnostic purposes. 

Stylized polygonal human profile facing a network of connected hexagons containing healthcare symbols, including a cross, heart monitor, eye, syringe, pills, lungs, thermometer, stethoscope, laboratory flask, and hospital symbol, on a purple-to-blue digital background.
July 25, 2023

nference and Vanderbilt University Medical Center sign agreement to advance real-world evidence generation in complex disease populations

nference, a science-first software company transforming healthcare by making biomedical data computable, and Vanderbilt University Medical Center have announced a strategic agreement aimed at advancing research through the deployment of nference’s state-of-the-art federated clinical analytics platform. By leveraging the power of federated AI and machine learning, this collaboration will expand clinical insights in key research areas.