SOURCE-LINKED INTELLIGENCE
Radiomic Analysis and Data Insights for Enhancing Hepatocellular Carcinoma Immunotherapy Outcomes
ernational cohorts and developed as software for facilitating clinical utility. This project adopts highly interdisciplinary and intersectoral approaches, integrating oncology, immunology, radiology, artificial intelligence, and bioinformatics. The proposed radiomics model has the potential to provide a non-invasive, accurate, wide accessible imaging biomarker for predicting immunotherapy efficacy and patient stratification. The model implementation in clinic will contribute to HCC personalized treatment, optimize healthcare resources allocation and significantly reduce healthcare costs. As a hepatobiliary surgeon and clinic-oriented researcher, my extensive experience in HCC and radiomics & AI makes me an ideal candidate to conduct this project. hepatocellular carcinoma, immunotherapy, radiomics, machine learning, artificial intelligence, imaging biomarker
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 209914.56
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.