Artificial intelligence in expanding hepatic resection boundaries: Integrating portal flow modulation and regenerative strategies

doi:10.35712/aig.v7.i2.116057

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Artificial Intelligence in Gastroenterology

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2644-3236

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

Artif Intell Gastroenterol. Aug 8, 2026; 7(2): 116057
Published online Aug 8, 2026. doi: 10.35712/aig.v7.i2.116057

Table 3 Molecular pathways and biomarkers in liver regeneration

Pathway/factor	Main functional role	Clinical or experimental marker	Relevance in regeneration
TNF-α/IL-6	Initiation phase, hepatocyte priming	Serum TNF-α, IL-6	Predicts early regenerative activity
HGF/Met	Proliferation, cell signaling	Serum HGF	Predicts regenerative capacity
Wnt/β-catenin	Proliferation, stem cell activation	Nuclear β-catenin	Regulates proliferation vs differentiation
mTORC1	Controls hypertrophy vs hyperplasia	Phospho-S6K, mTOR gene	Promotes protein synthesis for regeneration
MicroRNAs (e.g., miR-21, miR-122)	Transcriptional modulation	Circulating miRNA signatures	Biomarker for regeneration or injury

TNF-α: Tumor necrosis factor-α; IL-6: Interleukin-6; HGF: Hepatocyte growth factor.

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Citation: Agrawal H, Gupta N, Tanwar H. Artificial intelligence in expanding hepatic resection boundaries: Integrating portal flow modulation and regenerative strategies. Artif Intell Gastroenterol 2026; 7(2): 116057
URL: https://www.wjgnet.com/2644-3236/full/v7/i2/116057.htm
DOI: https://dx.doi.org/10.35712/aig.v7.i2.116057

Agrawal H, Gupta N, Tanwar H. Artificial intelligence in expanding hepatic resection boundaries: Integrating portal flow modulation and regenerative strategies. Artif Intell Gastroenterol 2026; 7(2): 116057 [DOI: 10.35712/aig.v7.i2.116057]

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