Score every model system on how well it predicted real trial results
No one keeps score of which laboratory models actually predicted what happened in patients. A public scoreboard would show which models to trust.
Protein structure prediction improved rapidly once CASP created a blinded, periodic benchmark. An oncology equivalent would take drugs with known but embargoed clinical outcomes, ask model owners (organoids, PDX, chips, in silico) to submit blinded predictions of response rate or ranking, and publish accuracy by model class. Over time this creates evidence for which systems merit regulatory and investment weight.
- Preclinical models that do not predict people · Nine in ten cancer drugs that work in mice fail in humans. Our models are the reason.
- AI that is built but not validated or deployed · Thousands of cancer AI models are published; a handful are in clinical use, and fewer have shown they help patients.
- Preclinical results do not reproduce · Fewer than half of landmark cancer biology findings reproduce when someone else tries.
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not linked directly; found by shared links- IdeaPick the laboratory model that matches the patient, not the one to hand
Shares Broad Institute of MIT and Harvard, Patient-derived xenografts, Patient-derived organoids, Preclinical models that do not predict people.
- IdeaAn independent replication institute that re-tests key preclinical cancer findings before trials
Shares Patient-derived xenografts, Patient-derived organoids, Preclinical results do not reproduce.
- IdeaSelf-driving laboratories that run the cancer biology hypothesis loop autonomously
Shares AI-driven drug & target discovery, Patient-derived organoids, Preclinical results do not reproduce, Preclinical models that do not predict people.
- InstitutionThe Jackson Laboratory Cancer Center
Shares Patient-derived xenografts, Preclinical results do not reproduce, Preclinical models that do not predict people.
- IdeaShared reference organoid and PDX panels that every lab can test against
Shares Patient-derived xenografts, Patient-derived organoids, Preclinical results do not reproduce, Preclinical models that do not predict people.
- IdeaPre-specified sample sizes for animal studies; no more 'representative' experiments
Shares Patient-derived xenografts, Preclinical results do not reproduce, Preclinical models that do not predict people.
- IdeaBuild laboratory models of the organs cancer spreads to
Shares Patient-derived xenografts, Patient-derived organoids, Preclinical models that do not predict people.
- Key paperReproducibility Project: Cancer Biology found that landmark preclinical results mostly shrank or vanished on replication
Shares Patient-derived xenografts, Patient-derived organoids, Preclinical results do not reproduce, Preclinical models that do not predict people.