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 ...

Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their importance, these images often remain difficult to analyze systematically and to ...

Scientists at Harvard Medical School have designed a versatile, ChatGPT-like AI model that is capable of performing an array of diagnostic tasks across multiple forms of cancers. The researchers, ...

Organizing Online Health Content: Developing Hashtag Collections for Healthier Internet-Based People and Communities Among the many uses of digital pathology, remote consultation, remote revision, and ...

Technion researchers part of international study that validates fast, accessible alternative to genomic tests using routine ...

LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through foundation models, addresses one of the persistent bottlenecks in cancer research: ...

Digital pathology is the management of data formed from digital images of glass slides. There are four steps involved in the process of digital imaging: The acquisition of the image. Image storage and ...

In the late 1990s Dirk G. Soenksen imagined a new future for pathology. At the time, pathologists often sat on telephone books to get a good view through their microscopes, yet Soenksen’s children ...

Oxford University Hospitals NHS Foundation Trust creates advanced diagnostic network to help improve patient care across Wiltshire, Buckinghamshire and Oxfordshire Royal Philips, a global leader in ...

A doctor’s visit often ends with you leaving with a pathology request form in hand. The request form soon has you filling a sample pot, having blood drawn, or perhaps even a tissue biopsy taken. After ...