AIMC Topic: Liver Cirrhosis

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Identification of regulatory cell death-related genes during MASH progression using bioinformatics analysis and machine learning strategies.

Frontiers in immunology Jan 1, 2025
BACKGROUND: Metabolic dysfunction-associated steatohepatitis (MASH) is becoming increasingly prevalent. Regulated cell death (RCD) has emerged as a significant disease phenotype and may act as a marker for liver fibrosis. The present study aimed to i...
Disease Progression Gene Expression Profiling Transcriptome Mice Humans Machine Learning Animals Non-alcoholic Fatty Liver Disease Cell Death Gene Expression Regulation Gene Ontology Computational Biology Liver Cirrhosis Databases, Genetic Disease Models, Animal
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MicroHDF: predicting host phenotypes with metagenomic data using a deep forest-based framework.

Briefings in bioinformatics Sep 23, 2024
The gut microbiota plays a vital role in human health, and significant effort has been made to predict human phenotypes, especially diseases, with the microbiota as a promising indicator or predictor with machine learning (ML) methods. However, the a...
Liver Cirrhosis Gastrointestinal Microbiome Metagenomics Metagenome Deep Learning ROC Curve Computational Biology Humans Machine Learning Phenotype Autism Spectrum Disorder Inflammatory Bowel Diseases
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Development and validation of an explainable machine learning model for predicting multidimensional frailty in hospitalized patients with cirrhosis.

Briefings in bioinformatics Sep 23, 2024
We sought to develop and validate a machine learning (ML) model for predicting multidimensional frailty based on clinical and laboratory data. Moreover, an explainable ML model utilizing SHapley Additive exPlanations (SHAP) was constructed. This stud...
Hospitalization Aged Male Middle Aged Humans Machine Learning Algorithms Female ROC Curve Liver Cirrhosis Frailty
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Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification.

Radiology. Artificial intelligence Sep 1, 2024
Purpose To evaluate the performance of an automated deep learning method in detecting ascites and subsequently quantifying its volume in patients with liver cirrhosis and patients with ovarian cancer. Materials and Methods This retrospective study in...
Ascites Aged Adult Male Middle Aged Humans Deep Learning Retrospective Studies Liver Cirrhosis Tomography, X-Ray Computed Ovarian Neoplasms Female Radiographic Image Interpretation, Computer-Assisted
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Establishment of diagnostic model and identification of diagnostic markers between liver cancer and cirrhosis based on multi-chip and machine learning.

Clinical and experimental pharmacology & physiology Aug 1, 2024
OBJECTIVE: Most cases of hepatocellular carcinoma (HCC) arise as a consequence of cirrhosis. In this study, our objective is to construct a comprehensive diagnostic model that investigates the diagnostic markers distinguishing between cirrhosis and H...
Liver Cirrhosis Diagnosis, Differential Oligonucleotide Array Sequence Analysis Gene Expression Profiling Liver Neoplasms Humans Carcinoma, Hepatocellular Machine Learning Gene Expression Regulation, Neoplastic Biomarkers, Tumor
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[Development of a grading diagnostic model for schistosomiasis-induced liver fibrosis based on radiomics and clinical laboratory indicators].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control Jun 7, 2024
OBJECTIVE: To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators.
Radiomics Male Middle Aged Ultrasonography Image Processing, Computer-Assisted Liver Cirrhosis Support Vector Machine Schistosomiasis Humans Machine Learning Female Adult
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Computed tomography-based radiomics to predict early recurrence of hepatocellular carcinoma post-hepatectomy in patients background on cirrhosis.

World journal of gastroenterology Apr 21, 2024
BACKGROUND: The prognosis for hepatocellular carcinoma (HCC) in the presence of cirrhosis is unfavourable, primarily attributable to the high incidence of recurrence.
Humans Machine Learning Prognosis Retrospective Studies Adult Tomography, X-Ray Computed Radiomics Female Male Risk Factors Middle Aged Aged Risk Assessment ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Liver Cirrhosis Liver Predictive Value of Tests Neoplasm Recurrence, Local Hepatectomy Kaplan-Meier Estimate
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B-mode US and Deep Learning Rivals Shear-Wave Elastography in Screening for Fibrosis.

Radiology Apr 1, 2024
Humans Female Adult Male Deep Learning Middle Aged Liver Cirrhosis Elasticity Imaging Techniques
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[Evaluation of brain age changes in patients with liver cirrhosis and hepatic encephalopathy with deep learning models based on structural magnetic resonance imaging].

Zhonghua yi xue za zhi Jan 23, 2024
To investigate the brain aging in patients with cirrhosis and hepatic encephalopathy(HE), constructed a prediction model of brain age based on deep learning and T high-resolution MRI, and try to reveal the specific regions where cirrhosis and HE acc...
Liver Cirrhosis Humans Brain Magnetic Resonance Imaging Cross-Sectional Studies Hepatic Encephalopathy Deep Learning
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Real-World Screening Data for Liver Fibrosis in Psoriasis Patients Treated with Biologics.

Journal of Nippon Medical School = Nippon Ika Daigaku zasshi Jan 1, 2024
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is positively associated with the prevalence and severity of psoriasis. The fibrosis-4 (FIB-4) index was developed to predict significant liver fibrosis. Using the FIB-4 ind...
Liver Cirrhosis Mass Screening Psoriasis Biological Products Humans Adult Female Male Aged Middle Aged Severity of Illness Index
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