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

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

Pathology has long been the cornerstone of cancer diagnosis and treatment. A pathologist carefully examines an ultrathin slice of human tissue under a microscope for clues that indicate the presence, ...

A new study reveals that pathology AI models for cancer diagnosis perform unequally across demographic groups. The researchers identified three explanations for the bias and developed a tool that ...

Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...

Abstract: Deep Neural Networks have been shown to perform poorly or even fail altogether when deployed in real-world settings, despite exhibiting excellent performance on initial benchmarks. This ...

Wikipedia has a serious problem. For over a year, I’ve reported on how the most sensitive topics on the site have been captured by ideological editors and special interests. If Wikipedia were just a ...

Sampling (or sample) bias is a widespread concern in scientific research, across several disciplines. The concept of sampling bias originated in statistical studies. The consequence of a biased sample ...

IPSWICH, Mass., July 22, 2025 /PRNewswire/ -- New England Biolabs (NEB ®) today announced the launch of the NEBNext Low-bias Small RNA Library Prep Kit, designed to minimize biased representation of ...