Beyond Morphology: The ACAT Framework for Biology-Driven Prognostic Assessment in Hepatocellular carcinoma
This preprint introduces the ACAT framework, a novel biology-driven approach for prognostic assessment in hepatocellular carcinoma (HCC). Unlike traditional morphology-based methods, ACAT integrates tumor biology, molecular markers, and clinical parameters to deliver more accurate and reproducible predictions of patient outcomes. This framework is designed to: Enhance prognostic accuracy for HCC patients. Support personalized clinical decision-making. Facilitate open scientific collaboration by providing an accessible, reproducible methodology. Note: This work is a preprint and has not yet been peer-reviewed. Keywords: hepatocellular carcinoma, ACAT framework, prognosis, biomarker, cancer biology, preprint, translational research
Authors
- Jihan Tambal Tambal
Institutions
- Oldham Council (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-14
- DOI
- https://doi.org/10.5281/zenodo.18640279
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00