Owkin
French AI biotech using federated learning across hospitals; first CE-marked AI for MSI prediction from H&E.
MSIntuit CRC, RlapsRisk BC, K1.0 agentic biology platform, federated research consortia.
Pages like this
not linked directly; found by shared links- IdeaWhole-patient digital twins validated in prospective randomised trials
Shares Patient-level multimodal foundation models for treatment selection, Pathology & radiology foundation models, Digital pathology & AI, AI that is built but not validated or deployed.
- CompanyPaige AI
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.
- IdeaA registry of external validation datasets for cancer AI models, with mandatory reporting
Shares Patient-level multimodal foundation models for treatment selection, Pathology & radiology foundation models, Digital pathology & AI, AI that is built but not validated or deployed.
- ProductArteraAI Breast
Shares Patient-level multimodal foundation models for treatment selection, Pathology & radiology foundation models, Digital pathology & AI, AI that is built but not validated or deployed.
- CompanyArtera
Shares Patient-level multimodal foundation models for treatment selection, Pathology & radiology foundation models, Digital pathology & AI, AI that is built but not validated or deployed.
- CompanyTempus AI
Shares Digital twins and virtual control arms, A pre-competitive consortium to train a shared multimodal cancer foundation model, Patient-level multimodal foundation models for treatment selection, Pathology & radiology foundation models.
- IdeaDigitise the nation's pathology slides and link them to outcomes
Shares Pathology & radiology foundation models, Digital pathology & AI, AI that is built but not validated or deployed, Data silos.
- IdeaPool every immunotherapy trial's biomarker data into one commons
Shares Patient-level multimodal foundation models for treatment selection, Pathology & radiology foundation models, AI that is built but not validated or deployed, Data silos.