Paige AI
MSK spin-out with the first FDA-cleared AI pathology product and the Virchow foundation model.
Paige Prostate Detect (2021), Virchow/Virchow2 foundation models (with Microsoft), pan-cancer detection.
Pages like this
not linked directly; found by shared links- CompanyPathAI
Shares A standard evaluation pathway for AI-assisted pathology, from reader study to deployment, AI second reads to stop borderline lesions being upgraded to cancer, Version control and locked reference sets for AI algorithms used as companion diagnostics, A pre-competitive consortium to train a shared multimodal cancer foundation model.
- IdeaAI quantification of HER2-low and HER2-ultralow
Shares A standard evaluation pathway for AI-assisted pathology, from reader study to deployment, Version control and locked reference sets for AI algorithms used as companion diagnostics, AI-first reading for high-volume common cancer diagnoses, pathologist for the exceptions, Digital pathology & AI.
- IdeaPublic gold-standard datasets for validating every cancer biomarker test
Shares Version control and locked reference sets for AI algorithms used as companion diagnostics, One digital PD-L1 scale that maps across all the competing assays, Digital pathology & AI, AI that is built but not validated or deployed.
- IdeaPathologist assistants plus AI triage to multiply pathologist capacity
Shares AI-first reading for high-volume common cancer diagnoses, pathologist for the exceptions, Digital pathology & AI, Not enough oncologists, nurses, pathologists, physicists, AI that is built but not validated or deployed.
- CompanyOwkin
Shares A pre-competitive consortium to train a shared multimodal cancer foundation model, AI-first reading for high-volume common cancer diagnoses, pathologist for the exceptions, Pathology & radiology foundation models, Digital pathology & AI.
- TechnologyProv-GigaPath (Microsoft, Providence)
Shares Microsoft (Research and Health AI), AI in the oncology clinic: from narrow cleared tools to multimodal decision support, Pathology & radiology foundation models.
- IdeaFederated training of pathology and radiology models across hospitals
Shares A pre-competitive consortium to train a shared multimodal cancer foundation model, Pathology & radiology foundation models, Digital pathology & AI, AI that is built but not validated or deployed.
- CompanyLunit
Shares AI-first reading for high-volume common cancer diagnoses, pathologist for the exceptions, Turn the map of immune cells inside a tumour into a standardised test, Digital pathology & AI, Not enough oncologists, nurses, pathologists, physicists.