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Build a computer model of each patient's cancer and body that simulates how different treatments would go, and prove in a proper trial that choosing treatment with the model helps.
Multimodal models combining genomics, pathology, imaging, pharmacokinetics and clinical history increasingly predict outcomes, but no digital twin has been validated as a decision tool in a randomised trial. The proposal is an open framework: standardised inputs, mechanistic plus learned components, calibration on federated real-world and trial data, and a series of randomised trials in which treatment selection assisted by the twin is compared with standard multidisciplinary decision-making, with regulators engaged on the evidence standard.
Shares How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals, Pathology & radiology foundation models, AI that is built but not validated or deployed, Digital pathology & AI.
Shares Patient-level multimodal foundation models for treatment selection, Pathology & radiology foundation models, AI that is built but not validated or deployed, Digital pathology & AI.
Shares Patient-level multimodal foundation models for treatment selection, Pathology & radiology foundation models, AI that is built but not validated or deployed, Digital pathology & AI.
Shares Patient-level multimodal foundation models for treatment selection, How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals, Pathology & radiology foundation models, AI that is built but not validated or deployed.
Shares Patient-level multimodal foundation models for treatment selection, Pathology & radiology foundation models, AI that is built but not validated or deployed, Digital pathology & AI.
Shares Patient-level multimodal foundation models for treatment selection, How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals, AI that is built but not validated or deployed.
Shares Patient-level multimodal foundation models for treatment selection, Pathology & radiology foundation models, AI that is built but not validated or deployed, Digital pathology & AI.
Shares How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals, AI that is built but not validated or deployed, Too many combinations to test.