Pathology laboratories are big data environments. However, these big data are often hidden behind expert humans who manually and with great care visually parse large complex and detailed datasets to ...

It is a renaissance for companies that sell GPU-dense systems and low-power clusters that are right for handling AI inference workloads, especially as they look to the healthcare market–one that for a ...

As artificial intelligence and machine learning are adopted across the industry, radiologists and pathologists are blasting the same alarm as countless others by asking whether AI-powered diagnostics ...

VANCOUVER, British Columbia--(BUSINESS WIRE)--By 2030, nearly 22 million new cancer cases are expected, and the burden on the healthcare system to quickly and accurately analyze the tissue samples to ...

Acquire a clinically relevant patient history from the treating physician. Compose a pertinent autopsy discussion clearly stating the primary and underlying causes of death. Present pediatric tumors ...

Rare diseases are often difficult to diagnose and predicting the best course of treatment can be challenging for clinicians. Investigators from the Mahmood Lab at Brigham and Women's Hospital, a ...

LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through ...

The International Association for the Study of Lung Cancer Early Lung Imaging Confederation Tumor stage and grade, visually assessed by pathologists from evaluation of pathology images in conjunction ...

Artificial intelligence has become one of the key weapons in the fight against cancer and the many forms and mutations that it takes, and today a startup is coming out of stealth and announcing ...

BURLINGAME, Calif.--(BUSINESS WIRE)-- NantHealth, Inc. (NASDAQ: NH), a next-generation, evidence-based, personalized healthcare company and NantOmics, LLC, the leader in molecular analysis, today ...