AI-driven multimodal models improve prediction of recurrence and survival in liver cancer, surpassing single-modality approaches in accuracy.
- Open access
Moving in Gut, Journal of hepatology.
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AI-driven multimodal models improve prediction of recurrence and survival in liver cancer, surpassing single-modality approaches in accuracy.
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Blood-based biomarkers show promise for early detection and management of liver cancer but require further validation in clinical settings.
Liver cancer surveillance faces limited support due to lack of randomized trial evidence, with false positives and low sensitivity impacting effectiveness.
Primary liver cancer cases and deaths increased by over 55% globally from 2000 to 2023, reversing previous declines and highlighting urgent public health needs.
Actin cytoskeletal dynamics are essential for hepatic myofibroblast functions driving liver fibrosis, with smooth muscle α-actin upregulation marking activation.
AI-driven multimodal models improve prediction of recurrence and survival in liver cancer, surpassing single-modality approaches in accuracy.
Immune checkpoint inhibitor combinations have become the standard first-line systemic therapy for HCC, significantly improving survival and response rates over previous treatments.
Integrating systemic therapy earlier in liver cancer shows promising but uncertain benefits, with advances in hepatocellular carcinoma and biliary tract cancers.
Recent advances in liver cancer imaging have enhanced detection, characterization, and prognostication, with key developments in ultrasound, CT, MRI, PET, and computational analysis.
Advances in surgical planning and molecular understanding have expanded the resectability of liver cancers, with a focus on hepatocellular carcinoma and intrahepatic cholangiocarcinoma.
YAP1 induces hepatocellular carcinoma through DNA demethylation, not canonical driver gene mutations, with widespread demethylation activating oncogenes in mouse models.
Pharmacological plasminogen reduction significantly enhances liver regeneration and decreases posthepatectomy liver failure in mice and humans, with tranexamic acid showing clinical promise.
Abbreviated MRI protocols and blood-based biomarkers show promise for improving hepatocellular carcinoma surveillance accuracy and patient adherence.
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