PanoraOnc: A pan-cancer clinico-genomic AI model for transferable outcome predictions

Abstract excerpt

Progress in precision oncology, including biomarker discovery and individualized treatment selection, is limited by the complexity of clinico-genomic data and the scarcity of large multimodal patient cohorts. Here, we introduce PanoraOnc , a pan-cancer artificial intelligence (AI) model pretrained on real-world clinical, genomic, and imaging data from 84,131 patients spanning 66 cancer types. PanoraOnc enables t...

Topics

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• Bioinformatics and Genomic Networks
• Gene expression and cancer classification
• High-Throughput Nucleotide Sequencing
• Machine Learning
• Mutation
• Neoplasms
• Radiomics and Machine Learning in Medical Imaging

Identifiers and source

Literature Corpus work

542ffb7e-91e3-58c2-b5d7-7b551c2702da

DOI

10.64898/2026.08.17.26354679