AIMC Topic: Carcinoma, Hepatocellular

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Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma.

Scientific reports Apr 1, 2025
The microarray and single-cell RNA-sequencing (scRNA-seq) datasets of hepatocellular carcinoma (HCC) were downloaded from the Gene Expression Omnibus (GEO) database. Differential expression analysis and weighted gene co-expression network analysis (W...
Sequence Analysis, RNA Gene Expression Regulation, Neoplastic Liver Neoplasms Humans Carcinoma, Hepatocellular Machine Learning Single-Cell Analysis Biomarkers, Tumor Gene Regulatory Networks Molecular Docking Simulation Gene Expression Profiling
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Construction of an artificially intelligent model for accurate detection of HCC by integrating clinical, radiological, and peripheral immunological features.

International journal of surgery (London, England) Apr 1, 2025
BACKGROUND: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to improve its early detection. We aimed to develop a model with multimodal features (MMF) using artificial intelligence (AI) approaches to enhance the p...
Male Humans Artificial Intelligence Prospective Studies Middle Aged Algorithms Female Liver Neoplasms Aged Carcinoma, Hepatocellular Adult Early Detection of Cancer
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Gd-EOB-DTPA-enhanced MRI radiomics and deep learning models to predict microvascular invasion in hepatocellular carcinoma: a multicenter study.

BMC medical imaging Mar 31, 2025
BACKGROUND: Microvascular invasion (MVI) is an important risk factor for early postoperative recurrence of hepatocellular carcinoma (HCC). Based on gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance ...
Adult Radiomics Male Middle Aged Deep Learning Humans Retrospective Studies Female Aged Neoplasm Invasiveness Gadolinium DTPA Microvessels Liver Neoplasms Carcinoma, Hepatocellular Contrast Media Magnetic Resonance Imaging
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A prediction model based on machine learning: prognosis of HBV-induced HCC male patients with smoking and drinking habits after local ablation treatment.

Frontiers in immunology Mar 28, 2025
BACKGROUND: Liver cancer, particularly hepatocellular carcinoma (HCC), is a major health concern globally and in China, possibly shows recurrence after ablation treatment in high-risk patients. This study investigates the prognosis of early-stage mal...
Middle Aged Risk Factors China Aged Humans Hepatitis B virus Liver Neoplasms Adult Machine Learning Nomograms Carcinoma, Hepatocellular Male Prognosis Hepatitis B, Chronic Retrospective Studies Smoking Alcohol Drinking
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Identification of CACNB1 protein as an actionable therapeutic target for hepatocellular carcinoma via metabolic dysfunction analysis in liver diseases: An integrated bioinformatics and machine learning approach for precise therapy.

International journal of biological macromolecules Mar 25, 2025
In addition to histological evaluation for nonalcoholic fatty liver disease (NAFLD), a comprehensive analysis of the metabolic landscape is urgently needed to categorize patients into distinct subgroups for precise treatment. In this study, a total o...
Liver Neoplasms Carcinoma, Hepatocellular Computational Biology Gene Expression Regulation, Neoplastic Non-alcoholic Fatty Liver Disease Prognosis Female Male Middle Aged Humans Machine Learning
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Denoised recurrence label-based deep learning for prediction of postoperative recurrence risk and sorafenib response in HCC.

BMC medicine Mar 18, 2025
BACKGROUND: Pathological images of hepatocellular carcinoma (HCC) contain abundant tumor information that can be used to stratify patients. However, the links between histology images and the treatment response have not been fully unveiled.
Humans Prognosis Female Carcinoma, Hepatocellular Male Neoplasm Recurrence, Local Middle Aged Sorafenib Antineoplastic Agents Deep Learning Aged Liver Neoplasms
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Deep learning based on intratumoral heterogeneity predicts histopathologic grade of hepatocellular carcinoma.

BMC cancer Mar 18, 2025
OBJECTIVES: The potential of medical imaging to non-invasively assess intratumoral heterogeneity (ITH) is increasingly being recognized. This study aimed to investigate the value of the ITH-based deep learning model for preoperative prediction of his...
Middle Aged Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Magnetic Resonance Imaging Neoplasm Grading Prognosis Female Aged Adult Humans Male
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LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 17, 2025
BACKGROUND: Hepatocellular carcinoma (HCC) is often diagnosed using gadoxetate disodium-enhanced magnetic resonance imaging (EOB-MRI). Standardized reporting according to the Liver Imaging Reporting and Data System (LI-RADS) can improve Gd-MRI interp...
Humans Retrospective Studies Female Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Gadolinium DTPA Risk Assessment Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Aged Contrast Media Adult Male Middle Aged
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Development and validation of an interpretable machine learning model for predicting the risk of hepatocellular carcinoma in patients with chronic hepatitis B: a case-control study.

BMC gastroenterology Mar 11, 2025
BACKGROUND: The aim of this study was to develop and internally validate an interpretable machine learning (ML) model for predicting the risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB) infection.
Case-Control Studies ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Logistic Models Adult Male Middle Aged Risk Assessment Hepatitis B, Chronic Humans Neural Networks, Computer Machine Learning Retrospective Studies Female Risk Factors
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Development of a MVI associated HCC prognostic model through single cell transcriptomic analysis and 101 machine learning algorithms.

Scientific reports Mar 7, 2025
Hepatocellular carcinoma (HCC) is an exceedingly aggressive form of cancer that often carries a poor prognosis, especially when it is complicated by the presence of microvascular invasion (MVI). Identifying patients at high risk of MVI is crucial for...
Prognosis Clinical Decision-Making Biomarkers, Tumor Risk Assessment Liver Neoplasms Humans Machine Learning Precision Medicine Datasets as Topic Kaplan-Meier Estimate Microvessels Immune Checkpoint Proteins Treatment Outcome Neoplasm Invasiveness Liver Meta-Analysis as Topic Mutation Carcinoma, Hepatocellular Single-Cell Gene Expression Analysis Immunotherapy Gene Expression Regulation, Neoplastic
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