A comprehensive exploration of the latest advancements in the pathology of renal tumors. This one-hour webinar will explore the intricacies of renal tumor pathology, focusing on recent developments in ...

Artificial intelligence could make cancer diagnosis safer and fairer by learning when to defer to human pathologists without overloading them, according to researchers from the University of Surrey ...

As a potential biomarker of treatment response, ctDNA and utDNA analyses were performed before systemic therapy, at restaging, and for responders at the beginning of adjuvant nivolumab. ctDNA was ...

In a recent study published in the journal Nature, researchers developed and evaluated the Providence Gigapixel Pathology Model (Prov-GigaPath), a whole-slide pathology foundation model, to achieve ...

AI-enabled platform auto-categorizes HER2 cases during scanning, allowing pathologists to review pre-analyzed results ...

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, ...

As the demand for pathology-based diagnoses rises, particularly with the growth of personalised cancer care, improved workflow efficiency allows pathologists to manage their growing caseloads more ...

The results of research by a University of Warwick-led team warn that popular deep learning systems trained for cancer pathology may be falling short on predictive accuracy because they are missing ...

A new AI-driven pathology system that automates cancer diagnostics from slide analysis to reporting is now undergoing regulatory review in both Hong Kong and mainland China. The Hong Kong University ...

When a tumor is removed, the surgery is only part of the story. Behind closed lab doors, specialists preserve, slice, stain, and analyze the tissue to determine whether cancer remains and what ...