Harvard Medical School: How AI Can Help Diagnose Rare Diseases. “Rare diseases are often difficult to diagnose, and predicting the best course of treatment can be challenging for clinicians. To help address these challenges, investigators from the Mahmood Lab at Harvard Medical School and Brigham and Women’s Hospital have developed a deep- learning algorithm that can teach itself to learn features that can then be used to find similar cases in large pathology image repositories.”
Tag Archives: pathology
News-Medical: New consortium aims to establish the biggest pathology data to advance artificial intelligence
News-Medical: New consortium aims to establish the biggest pathology data to advance artificial intelligence. “To take AI development in pathology to the next level, a European consortium combining leading European research centers, hospitals as well as major pharmaceutical industries, is going to develop a repository for the sharing of pathology data. The 6-year, €70 million projects called BIGPICTURE, will herald a new era in pathology.”
PRN: Philips and LabPON plan to create world’s largest pathology database of annotated tissue images for deep learning (PRESS RELEASE)
In development: a database of annotated tissue images (PRESS RELEASE). “Royal Philips (NYSE: PHG, AEX: PHIA) and LabPON, the first clinical laboratory to transition to 100 percent histopathology digital diagnosis, today announced its plans to create a digital database of massive aggregated sets of annotated pathology images and big data utilizing Philips IntelliSite Pathology Solution… As one of the largest pathology laboratories in the Netherlands, LabPON will contribute its repository of approximately 300,000 whole slide images (WSI) they prospectively create each year to the database. This will contain de-identified datasets of annotated cases that are manually commented by the pathologist, and will comprise of a wide variety of tissue and disease types, as well as other pertinent diagnostic information to facilitate deep learning.”