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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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CPTAC — Clinical Proteomic Tumor Analysis Consortium

NCI Office of Cancer Clinical Proteomics Research
Registry / portal Free registration open (proteomics via PDC) / controlled (raw sequencing via dbGaP)

Proteogenomic companion to TCGA: the largest public set where protein-level measurements, genomics and images exist for the same tumours.

1 000 patients 10+ tumour types with proteogenomic profiling (proteome, phosphoproteome) on genomically characterised cases; images in TCIA
ProteomicsGenomics (DNA)Transcriptomics (RNA)Histopathology (WSI)CT ClassificationPrognosisGene expression TSVSVSDICOMMAF
Pan-cancer
Dataset site used by models: 2 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.