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Integrative Machine Learning Approaches to Identify and Validate Gene Biomarkers for Early Detection of Hepatocellular Carcinoma

2024-12-30

Abstract excerpt

<title>Abstract</title> <p>Hepatocellular carcinoma (HCC) is among the leading causes of cancer-related deaths worldwide, and prognosis is poor if the disease is detected at advanced stages. There is an urgent need for early diagnostic biomarkers to facilitate timely interventions. Current diagnostic methods, such as liver function tests (LFTs), alpha-fetoprotein (AFP) panels, and imaging techniques like magnetic...

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Literature Corpus work
73960577-a41b-5e6b-9a98-994d19aa7091
DOI
10.21203/rs.3.rs-5720650/v1
Open publication

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Integrative Machine Learning Approaches to Identify and Validate Gene Biomarkers for Early Detection of Hepatocellular CarcinomaDOI 10.21203/rs.3.rs-5720650/v1
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