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The system assesses the heterogeneity of HCC patients in terms of therapeutic outcomes (such as rwPFS, ORR, PRO) and adverse reactions during the process of interventional therapy combined with systemic treatment. It explores the clinical characteristics and biomarker levels of patients related to heterogeneity and builds a machine learning model to predict the risk of adverse reactions, providing evidence support for the construction of a patient-centered individualized decision-making system.
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2,000 participants in 1 patient group
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Xuhua Duan
Data sourced from clinicaltrials.gov
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