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This study focuses on tumor heterogeneity, a core challenge in the field of oncology, and innovatively utilizes patient imaging data to deeply mine and analyze intratumoral heterogeneity. By constructing an imaging analysis model for tumor heterogeneity and associating this model with clinical, pathological, transcriptomic, and metabolomic data of patients, a multi-omics decoding of tumor heterogeneity is achieved. The main questions it aims to address are: Can the ITH model stratify patients' treatment efficacy and prognosis assessment? Can pathological and multi-omics sequencing map the mechanisms behind the ITH model?
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