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AI in Oncology · AI Models

A researcher-grade catalog of AI models, datasets and open data needs in oncology — every card structured, sourced and dated.

Datasets, registries and benchmarks you can train or evaluate oncology models on — with access conditions, licences, sizes, annotations and the models already using them. { } export JSON

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AACR Project GENIE

American Association for Cancer Research; hosted on Synapse / cBioPortal
Registry / portal Free registration AACR GENIE data-use terms (Synapse registration)

The largest real-world clinical sequencing registry in oncology — the place to test whether a variant-effect or biomarker model generalises beyond TCGA.

200 000 patients clinical-grade tumour sequencing from 19+ institutions with limited clinical data; releases twice a year
Genomics (DNA)Electronic health records Variant effectPrognosisSurvival analysis MAFTSV
Pan-cancer
Dataset site Open card →

Cards follow the cancer3.ai model-card standard: AI_MODEL_CARD_STANDARD.md. Corrections and new entries: contact the editorial team; every fact needs a public source.

This page is educational — it is not medical advice and does not replace consultation with an oncologist. Diagnostic and treatment decisions are made solely by specialist physicians.