At Health First, this innovation is being brought to life through partners like NextGen Pathology, delivering precise diagnostic services.

This article describes a new method (VS-FPM) for analysis of unstained tissues based on the application of supervised machine learning to generate brightfield hematoxylin and eosin (H&E) images from ...

The digital revolution is now more quickly transforming pathology lab workflows, pointing towards accelerating adoption in the coming years.

New findings highlight the need to systematically check for bias in pathology AI to ensure equitable care for patients.

A new study reveals an alarming bias present in four leading AI cancer screening tools, related to race, gender, and age.

Historically, inflammation against self was considered autoimmune, a concept that stems back to the seminal observations by Ehrlich, who described serum factors now known to be autoantibodies produced ...

AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...

Cancer-diagnosing AI models can secretly read patient demographics from pathology slides, leading to biased results.

Ra'Shaad Samples, the Oregon Ducks' running backs coach, is one of the top up-and-coming position coaches in the country. His success in recruiting and developing the Ducks' running backs room has not ...

August 15, 2024, Paper: "Glucagon-like peptide 1 (GLP-1) receptor agonists and dual GLP-1/gastric inhibitory polypeptide (GIP) receptor agonists are among the most promising medical innovations of the ...