Real-world evidence at scale: what happened to patients with a given genomic profile on a given treatment.
The Flatiron Health and Foundation Medicine Clinico-Genomic Database is real-world evidence at scale: it records what happened to patients with a given genomic profile on a given treatment. It links electronic health record outcomes with comprehensive genomic profiles for more than 100,000 US cancer patients and is used for external control arms, label expansions and training multimodal outcome models. Access is commercial or by research agreement, and the database is maintained by Flatiron Health, part of Roche, with Foundation Medicine, so the company records for Foundation Medicine (Roche) and Roche / Genentech are linked. The collection is referenced by the roadmaps on AI in the oncology clinic, AI in oncology and trial modernisation.
Shares AI in the oncology clinic: from narrow cleared tools to multimodal decision support, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag data.
Shares AI in the oncology clinic: from narrow cleared tools to multimodal decision support, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow.
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag data.
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow, Trial modernisation roadmap: the randomised trial → platforms and adaptive designs → decentralised, pragmatic and always-on.
Shares AI in the oncology clinic: from narrow cleared tools to multimodal decision support, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow.
Shares AI in the oncology clinic: from narrow cleared tools to multimodal decision support, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow.
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag data.
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag data.