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admin@pathologynews.com2024-06-12T09:20:49+00:00On-siteHistoWiz Inc.Full time Queens, New York, United States
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Quest Diagnostics, a leader in diagnostic information services, today announced that it has completed its previously announced acquisition of PathAI Diagnostics from PathAI, with the goal to accelerate the adoption of AI and digital pathology to improve the diagnosis of cancer and other diseases.
On-siteHistoWiz Inc.Full time Long Island City, New York, United States
On-siteHistoWiz Inc.Full time Long Island City, New York, United States
In a new study, researchers at the University of Naples and the University of Molise developed a deep learning model to predict Ki-67 immunohistochemical staining from hematoxylin-eosin (H&E)-stained images of oral cancer samples. After training the model on H&E- and Ki-67 image pairs, researchers used it to predict Ki-67 in routine slides.
Part four of our series on the Digital Pathology and Ai Congress: USA discuss the recent advances in digital pathology including new slide-free and label-free imaging techniques, such as Fluorescence Imitating Brightfield Imaging (FIBI) and Quantitative Oblique Back-Illumination Microscopy (qOBM).
Dr. Richard Levenson joins the Digital Pathology Podcast for an insightful discussion on innovations in digital pathology. With an eclectic background spanning the humanities, pathology research, and experience in startups, Richard offers a unique perspective. He is currently pioneering groundbreaking research in glassless pathology techniques and AI applications at UC Davis Health.
The reports provide a comprehensive overview of the digital pathology implementation experiences at the University of Michigan and Mayo Clinic, showcasing the benefits, challenges, and future potential of digital and AI technologies in pathology.
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