Loading
A pathology foundation model trained on millions of slides that can detect cancer and predict biomarkers from an ordinary H&E slide.
Virchow (2024, 632M parameters, 1.5M slides) and Virchow2/2G (2024, up to 1.9B parameters, 3.1M slides from MSK and global sites, mixed magnification) are the largest proprietary pathology foundation models; they underpin Paige's pan-cancer detection and biomarker products and were trained with Microsoft compute.
Self-supervised DINOv2 vision transformer pretraining on tissue tiles at several magnifications; frozen encoder plus small task heads.
Query for this technology: (TITLE:"Virchow / Virchow2" OR ABSTRACT:"Virchow / Virchow2" OR TITLE:"Paige, MSK" OR ABSTRACT:"Paige, MSK") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about Virchow / Virchow2 (Paige, MSK), not a curated reading list.
Shares Microsoft (Research and Health AI), AI in the oncology clinic: from narrow cleared tools to multimodal decision support, Pathology & radiology foundation models, Diagnostics roadmap: stains → gene panels → blood tests that decide treatment and the tags foundation-model, pathology.
Shares AI in the oncology clinic: from narrow cleared tools to multimodal decision support, Pathology & radiology foundation models, Diagnostics roadmap: stains → gene panels → blood tests that decide treatment, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tags foundation-model, pathology.
Shares AI in the oncology clinic: from narrow cleared tools to multimodal decision support, Pathology & radiology foundation models, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tags foundation-model, pathology.
Shares AI in the oncology clinic: from narrow cleared tools to multimodal decision support, Pathology & radiology foundation models and the tags foundation-model, pathology.
Shares Pathology & radiology foundation models, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tags foundation-model, pathology.
Shares Pathology & radiology foundation models, Digital pathology & AI and the tags foundation-model, pathology.
Shares Pathology & radiology foundation models, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tags foundation-model, pathology.
Shares Pathology & radiology foundation models, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tags foundation-model, pathology.
Open-source projects that implement or serve this technology, from OnCo's own catalogue: licence and last activity as the repository reported them on the day of the fetch. Listing is not endorsement; check the licence before reuse and the validation before clinical use.
Paige's pathology foundation model trained on 1.5 million slides; the model card releases the model and code under Apache-2.0.