When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...

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 ...

Researchers in the UAB Department of Pathology have developed a comprehensive breast cancer data analysis platform, MammOnc-DB, to address this issue. The platform is comprised of data from more than ...

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, ...

Akash Parvatikar works at the intersection of AI and cancer diagnosis, in a field that is reshaping how diseases are detected, studied and treated. Based in New York, Akash leads R&D of large-scale ...

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 ...

Reduction mammoplasty is a common surgical intervention not only for symptomatic macromastia but also as a reconstructive adjunct during breast cancer management. The histopathological analysis of ...

In a major step towards strengthening cancer care services in the region, Government Medical College (GMC) Jammu has launched a state-of-the-art advanced molecular testing facility for cancer patients ...