AIMC Topic: Biomarkers

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AI-enabled cardiac chambers volumetry in coronary artery calcium scans (AI-CAC) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis.

Journal of cardiovascular computed tomography Apr 24, 2024
INTRODUCTION: Coronary artery calcium (CAC) scans contain useful information beyond the Agatston CAC score that is not currently reported. We recently reported that artificial intelligence (AI)-enabled cardiac chambers volumetry in CAC scans (AI-CAC™...
Computed Tomography Angiography Coronary Angiography Peptide Fragments Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Multidetector Computed Tomography Vascular Calcification Asymptomatic Diseases Heart Failure Natriuretic Peptide, Brain Incidence Time Factors United States Predictive Value of Tests Aged, 80 and over Male Middle Aged Risk Assessment Humans Artificial Intelligence Biomarkers Reproducibility of Results Risk Factors Aged Prognosis Female
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Exploring Radiomics Features Based on H&E Images as Potential Biomarkers for Evaluating Muscle Atrophy: A Preliminary Study.

Journal of imaging informatics in medicine Apr 23, 2024
Radiomics features have been widely used as novel biomarkers in the diagnosis of various diseases, but whether radiomics features derived from hematoxylin and eosin (H&E) images can evaluate muscle atrophy has not been studied. Therefore, this study ...
Animals Support Vector Machine Disease Models, Animal Macaca Biomarkers Female Radiomics Muscular Atrophy
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Integrating machine learning algorithms and single-cell analysis to identify gut microbiota-related macrophage biomarkers in atherosclerotic plaques.

Frontiers in cellular and infection microbiology Apr 23, 2024
OBJECTIVE: The relationship between macrophages and the gut microbiota in patients with atherosclerosis remains poorly defined, and effective biological markers are lacking. This study aims to elucidate the interplay between gut microbial communities...
Gastrointestinal Microbiome CD68 Molecule Antigens, CD Biomarkers Agammaglobulinaemia Tyrosine Kinase Atherosclerosis Humans Gene Expression Profiling Plaque, Atherosclerotic Machine Learning Antigens, Differentiation, Myelomonocytic Single-Cell Analysis Interferon Regulatory Factors Gene Regulatory Networks Algorithms Receptors, CCR1 Macrophages
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Unveiling the link between lactate metabolism and rheumatoid arthritis through integration of bioinformatics and machine learning.

Scientific reports Apr 22, 2024
Rheumatoid arthritis (RA) is a persistent autoimmune condition characterized by synovitis and joint damage. Recent findings suggest a potential link to abnormal lactate metabolism. This study aims to identify lactate metabolism-related genes (LMRGs) ...
Gene Expression Profiling Transcriptome Protein Interaction Maps Arthritis, Rheumatoid Computational Biology Humans Machine Learning Biomarkers Lactic Acid
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Machine learning and weighted gene co-expression network analysis identify a three-gene signature to diagnose rheumatoid arthritis.

Frontiers in immunology Apr 22, 2024
BACKGROUND: Rheumatoid arthritis (RA) is a systemic immune-related disease characterized by synovial inflammation and destruction of joint cartilage. The pathogenesis of RA remains unclear, and diagnostic markers with high sensitivity and specificity...
Gene Expression Profiling Kinesins Computational Biology Humans Ribonucleoside Diphosphate Reductase Synovial Membrane Transcriptome Machine Learning Support Vector Machine Gene Regulatory Networks Biomarkers Databases, Genetic Arthritis, Rheumatoid
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Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 19, 2024
A late post-traumatic seizure (LPTS), a consequence of traumatic brain injury (TBI), can potentially evolve into a lifelong condition known as post-traumatic epilepsy (PTE). Presently, the mechanism that triggers epileptogenesis in TBI patients remai...
Humans Biomarkers Female Epilepsy, Post-Traumatic Adult Multimodal Imaging Bayes Theorem Machine Learning Seizures Algorithms Neuroimaging Male Middle Aged Magnetic Resonance Imaging Brain Injuries, Traumatic
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Predicting community acquired bloodstream infection in infants using full blood count parameters and C-reactive protein; a machine learning study.

European journal of pediatrics Apr 18, 2024
Early recognition of bloodstream infection (BSI) in infants can be difficult, as symptoms may be non-specific, and culture can take up to 48 h. As a result, many infants receive unneeded antibiotic treatment while awaiting the culture results. In thi...
C-Reactive Protein Blood Cell Count Sepsis Humans Bacteremia Machine Learning Sensitivity and Specificity Biomarkers Decision Trees Female Male Retrospective Studies Predictive Value of Tests Infant, Newborn Infant
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Immune Regulation Patterns in Response to Environmental Pollutant Chromate Exposure-Related Genetic Damage: A Cross-Sectional Study Applying Machine Learning Methods.

Environmental science & technology Apr 17, 2024
Exposure to hexavalent chromium damages genetic materials like DNA and chromosomes, further elevating cancer risk, yet research rarely focuses on related immunological mechanisms, which play an important role in the occurrence and development of canc...
Humans Machine Learning Male Middle Aged DNA Damage Environmental Pollutants Chromates Biomarkers Female Adult Cross-Sectional Studies
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Identification of biomarkers and immune infiltration characterization of lipid metabolism-associated genes in osteoarthritis based on machine learning algorithms.

Aging Apr 17, 2024
Osteoarthritis (OA) is a prevalent degenerative condition commonly observed in the elderly, leading to consequential disability. Despite notable advancements made in clinical strategies for OA, its pathogenesis remains uncertain. The intricate associ...
Biomarkers Lipid Metabolism Chondrocytes Humans Osteoarthritis Machine Learning Algorithms
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Identification and validation of potential diagnostic signature and immune cell infiltration for HIRI based on cuproptosis-related genes through bioinformatics analysis and machine learning.

Frontiers in immunology Apr 16, 2024
BACKGROUND AND AIMS: Cuproptosis has emerged as a significant contributor in the progression of various diseases. This study aimed to assess the potential impact of cuproptosis-related genes (CRGs) on the development of hepatic ischemia and reperfusi...
Databases, Genetic Liver Reperfusion Injury Protein Interaction Maps Humans Gene Regulatory Networks Machine Learning Mice Biomarkers Computational Biology Animals Male Gene Expression Profiling Transcriptome
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