Digital and computational pathology

Even after thousands of years, tuberculosis remains a killer – but AI-assisted research into diverse populations may help

How can we effectively apply technologies like whole-slide imaging and automated diagnosis to tackle infectious diseases?

Too many laboratory resources are spent on performance analytics and improvement – but what if digital pathology platforms could take that work away?

For an efficient AI-powered diagnostic workflow, it is crucial to ensure that pathology images and associated metadata are connected at the source

How UPMC’s digital pathology platform is facilitating the adoption of AI for primary diagnosis and unlocking new potential for the healthcare system

Microscopy is an ever-evolving field – and its next step may be into fully integrated, digitized systems that offer a wealth of new information

Gillian Beamer gives her view on the future of AI in pathology, including how she uses algorithms to diagnose infection with tuberculosis

Marilyn Bui discusses the evolution of digital pathology, its promise for the future, and her experiences transitioning to digital

How has pathology changed over the last five years – and what doesn’t seem to have changed at all?

A new algorithm finds that a quality control process to remove nonsense mutations in our immune system could be having an undesired effect