Liver Cancer
What's New
Last Posted: Apr 23, 2024
- A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma.
Ji Won Han et al. Clin Cancer Res 2024 - Conventional and machine-learning based risk score for patients with early-stage hepatocellular carcinoma.
Chun-Ting Ho et al. Clin Mol Hepatol 2024 - Clinical Application of Different Liquid Biopsy Components in Hepatocellular Carcinoma
J Xu et al, JPM, April 15, 2024 - Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial Intelligence.
Pablo Martínez-Blanco et al. Diagnostics (Basel) 2024 14(4) - Haemochromatosis.
Paul C Adams et al. Lancet 2023 4 - Development and validation of a REcurrent Liver cAncer Prediction ScorE (RELAPSE) following liver transplantation in patients with hepatocellular carcinoma: analysis of the us multicenter hcc transplant consortium.
Benjamin V Tran et al. Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society 2023 - Exploring Prognosis, Tumor Microenvironment and Tumor Immune Infiltration in Hepatocellular Carcinoma Based on ATF/CREB Transcription Factor Family Gene-Related Model.
Honghong Shen et al. Journal of hepatocellular carcinoma 2023 10327-345 - Classification of metastatic hepatic carcinoma and hepatocellular carcinoma lesions using contrast-enhanced CT based on EI-CNNet.
Xuehu Wang et al. Medical physics 2023 - fetArtificial Intelligence in Liver Cancers: Decoding the Impact of Machine Learning Models in Clinical Diagnosis of Primary Liver Cancers and Liver Cancer Metastases.
Anita Bakrania et al. Pharmacological research 2023 106706 - Original Article: prevalence and factors associated with liver fibrosis among first-degree relatives of Mexican Americans with hepatocellular carcinoma.
Sharpton Suzanne et al. Alimentary pharmacology & therapeutics 2023 - A Circulating MicroRNA-375 for the Detection of Liver Cancer: A Meta-Analysis.
Kong Xiangyu et al. Genetic testing and molecular biomarkers 2022 26(12) 564-572 - Artificial intelligence models for the diagnosis and management of liver diseases.
Nishida Naoshi et al. Ultrasonography (Seoul, Korea) 2022 - Risk Association of Liver Cancer and Hepatitis B with Tree Ensemble and Lifestyle Features.
Koh Eunji et al. International journal of environmental research and public health 2022 19(22) - DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma.
Huang Haoyuan et al. Computer methods and programs in biomedicine 2022 227107201 - Development and Validation of Nomogram for Predicting Survival of Primary Liver Cancers Using Machine Learning.
Chen Rui et al. Frontiers in oncology 2022 12926359 - Machine Learning Approach to Facilitate Knowledge Synthesis at the Intersection of Liver Cancer, Epidemiology, and Health Disparities Research.
Hyams Travis C et al. JCO clinical cancer informatics 2022 6e2100129 - Genetic modifiers of penetrance to liver endpoints in HFE hemochromatosis: associations in a large community cohort.
Pilling Luke C et al. Hepatology (Baltimore, Md.) 2022 - Machine learning-based survival rate prediction of Korean hepatocellular carcinoma patients using multi-center data.
Noh Byeonggwan et al. BMC gastroenterology 2022 22(1) 85 - Radiomics analysis of pretreatment MRI in predicting tumor response and outcome in hepatocellular carcinoma with transarterial chemoembolization: a two-center collaborative study.
Liu Qiu-Ping et al. Abdominal radiology (New York) 2021 - Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging.
Gross Moritz et al. PloS one 2021 16(12) e0260630
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Cancer PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to cancer...more
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:May 09, 2024
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