For: | Ramírez-Mejía MM, Méndez-Sánchez N. From prediction to prevention: Machine learning revolutionizes hepatocellular carcinoma recurrence monitoring. World J Gastroenterol 2024; 30(7): 631-635 [PMID: 38515945 DOI: 10.3748/wjg.v30.i7.631] |
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URL: | https://www.wjgnet.com/1007-9327/full/v30/i7/631.htm |
Number | Citing Articles |
1 |
Md Sadique Hussain, Mokhtar Rejili, Amna Khan, Saud O. Alshammari, Ching Siang Tan, Faouzi Haouala, Sumel Ashique, Qamar A. Alshammari. AI-powered liquid biopsy for early detection of gastrointestinal cancers. Clinica Chimica Acta 2025; 577: 120484 doi: 10.1016/j.cca.2025.120484
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2 |
Hailing Huang, Ruiqun Lu, Shenni Peng, Shi Huang, Yinyin Mo, Genliang Li. PIWIL genes in hepatocellular carcinoma: a multi-omics approach uncovering dysregulated expression and ceRNA networks in mice. BMC Genomic Data 2024; 25(1) doi: 10.1186/s12863-024-01283-1
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3 |
Dalong Zhu, Alimu Tulahong, Abuduhaiwaier Abuduhelili, Chang Liu, Ayinuer Aierken, Yanze Lin, Tiemin Jiang, Renyong Lin, Yingmei Shao, Tuerganaili Aji. Machine Learning Prognostic Model for Post-Radical Resection Hepatocellular Carcinoma in Hepatitis B Patients. Journal of Hepatocellular Carcinoma 2025; : 353 doi: 10.2147/JHC.S495059
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