AIMC Topic: Cholangitis, Sclerosing

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Quantitative fibrosis identifies biliary tract involvement and is associated with outcomes in pediatric autoimmune liver disease.

Hepatology communications Dec 11, 2024
BACKGROUND: Children with autoimmune liver disease (AILD) may develop fibrosis-related complications necessitating a liver transplant. We hypothesize that tissue-based analysis of liver fibrosis by second harmonic generation (SHG) microscopy with art...
Humans Artificial Intelligence Liver Biopsy Liver Cirrhosis Hepatitis, Autoimmune Cholangitis, Sclerosing Liver Transplantation Autoimmune Diseases Male Adolescent Child, Preschool Child Prognosis Female Young Adult
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Machine Learning Identifies Key Proteins in Primary Sclerosing Cholangitis Progression and Links High CCL24 to Cirrhosis.

International journal of molecular sciences May 30, 2024
Primary sclerosing cholangitis (PSC) is a rare, progressive disease, characterized by inflammation and fibrosis of the bile ducts, lacking reliable prognostic biomarkers for disease activity. Machine learning applied to broad proteomic profiling of s...
Proteomics Liver Cirrhosis ROC Curve Cholangitis, Sclerosing Chemokine CCL24 Male Middle Aged Disease Progression Case-Control Studies Female Humans Adult Biomarkers Machine Learning
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Chronic cholestasis detection by a novel tool: automated analysis of cytokeratin 7-stained liver specimens.

Diagnostic pathology May 6, 2021
BACKGROUND: The objective was to build a novel method for automated image analysis to locate and quantify the number of cytokeratin 7 (K7)-positive hepatocytes reflecting cholestasis by applying deep learning neural networks (AI model) in a cohort of...
Middle Aged Deep Learning Female Adolescent Aged Cholestasis Child Humans Adult Keratin-7 Young Adult Hepatocytes Image Processing, Computer-Assisted Biomarkers Male Cholangitis, Sclerosing
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Primary Sclerosing Cholangitis Risk Estimate Tool (PREsTo) Predicts Outcomes of the Disease: A Derivation and Validation Study Using Machine Learning.

Hepatology (Baltimore, Md.) Dec 28, 2018
Improved methods are needed to risk stratify and predict outcomes in patients with primary sclerosing cholangitis (PSC). Therefore, we sought to derive and validate a prediction model and compare its performance to existing surrogate markers. The mod...
Models, Statistical Cholangitis, Sclerosing Cohort Studies Adult Middle Aged Humans Male Machine Learning Risk Assessment Female
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