Digital and computational pathology

Digital pathology can be hampered by poor-quality slide images, but HistoQC aims to address the issue by automatically filtering slides by quality

The Association of Pathology Chairs’ annual meeting offers valuable information for pathologists and lab medicine professionals at every career stage

Anant Madabhushi has been at the forefront of computational pathology since its humble beginnings – but why and how did his journey in AI start?

A neural network called STORK can predict embryo quality with over 90 percent accuracy, offering fresh hope for successful in vitro fertilization.

An algorithm originally developed for Netflix shows promise to improve the diagnostic applications of Raman spectroscopy.

A leader in microscopy, imaging, and diagnostics shares the lessons he has learned over a varied and exciting career.

We sit down with digital pathology advocate David Wilbur to discuss how the advancement of digital interfaces could lead to widespread adoption.

Pathology’s great strides forward in artificial intelligence and machine learning will bring us to the forefront of personalized medicine

How can diagnostic technologies help ease the increased healthcare pressures of the winter months?

Discover the latest in the field of computational pathology and artificial intelligence