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To help power its artificial intelligence-based pathology services, PathAI has raised $60 million in venture capital funding, with plans to accelerate its R&D into new digital tools and medical ...

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 ...

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 ...

Human tissue is intricate, complex and, of course, three dimensional. But the thin slices of tissue that pathologists most often use to diagnose disease are two dimensional, offering only a limited ...

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 ...

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 ...