AIMC Topic: Biomarkers

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MicroRNA signature for early prediction of knee osteoarthritis structural progression using integrated machine and deep learning approaches.

Osteoarthritis and cartilage Nov 29, 2024
OBJECTIVE: Conventional methodologies are ineffective in predicting the rapid progression of knee osteoarthritis (OA). MicroRNAs (miRNAs) show promise as biomarkers for patient stratification. We aimed to develop a miRNA prognosis model for identifyi...
Middle Aged Disease Progression Prognosis Humans Deep Learning Machine Learning Female MicroRNAs Magnetic Resonance Imaging Aged Biomarkers Osteoarthritis, Knee Male
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Severity prediction markers in dengue: a prospective cohort study using machine learning approach.

Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals Nov 28, 2024
BACKGROUND: Dengue virus causes illnesses with or without warning indicators for severe complications. There are no clear prognostic signs linked to the disease outcomes.
Biomarkers Prognosis Female Adult Male Humans Alanine Transaminase Middle Aged Machine Learning Aspartate Aminotransferases Severity of Illness Index Prospective Studies Dengue Platelet Count Severe Dengue
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Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning.

Journal of translational medicine Nov 28, 2024
BACKGROUND: The aim of this study was to explore the microbial variations and biomarkers in the oral environment of patients with persistent pulmonary nodules (pPNs) and to reveal the potential biological functions of the salivary microbiota in pPNs.
Middle Aged Case-Control Studies RNA, Ribosomal, 16S Multiple Pulmonary Nodules Saliva Microbiota Biomarkers Female Adult Male Humans Machine Learning
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Predicting patients with septic shock and sepsis through analyzing whole-blood expression of NK cell-related hub genes using an advanced machine learning framework.

Frontiers in immunology Nov 28, 2024
BACKGROUND: Sepsis is a life-threatening condition that causes millions of deaths globally each year. The need for biomarkers to predict the progression of sepsis to septic shock remains critical, with rapid, reliable methods still lacking. Transcrip...
Transcriptome Prognosis Humans Killer Cells, Natural Sepsis Female Machine Learning Biomarkers Computational Biology Male Shock, Septic Gene Expression Profiling
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Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi-omics data and machine learning analysis.

IET systems biology Nov 27, 2024
Abdominal aortic aneurysm (AAA) is a severe vascular condition, marked by the progressive dilation of the abdominal aorta, leading to rupture if untreated. The objective of this study was to identify key biomarkers and decipher the immune mechanisms ...
Polycomb Repressive Complex 1 Humans Machine Learning Macrophages Male Biomarkers Multiomics Aortic Aneurysm, Abdominal Receptors, CCR7
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Identification of biomarkers for the diagnosis in colorectal polyps and metabolic dysfunction-associated steatohepatitis (MASH) by bioinformatics analysis and machine learning.

Scientific reports Nov 27, 2024
Colorectal polyps are precursors of colorectal cancer. Metabolic dysfunction associated steatohepatitis (MASH) is one of metabolic dysfunction associated fatty liver disease (MAFLD) phenotypic manifestations. Much evidence has suggested an associatio...
Humans Machine Learning Fatty Liver Computational Biology Biomarkers Colonic Polyps Colorectal Neoplasms Gene Ontology Gene Expression Profiling Gene Regulatory Networks
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Predicting abnormal C-reactive protein level for improving utilization by deep neural network model.

International journal of medical informatics Nov 26, 2024
BACKGROUND: C-reactive protein (CRP) is an inflammatory biomarker frequently used in clinical practice. However, insufficient evidence-based ordering inevitably results in its overuse or underuse. This study aims to predict its normal and abnormal le...
ROC Curve C-Reactive Protein Biomarkers Female Male Humans Middle Aged Neural Networks, Computer
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Prognostic value of glycaemic variability for mortality in critically ill atrial fibrillation patients and mortality prediction model using machine learning.

Cardiovascular diabetology Nov 26, 2024
BACKGROUND: The burden of atrial fibrillation (AF) in the intensive care unit (ICU) remains heavy. Glycaemic control is important in the AF management. Glycaemic variability (GV), an emerging marker of glycaemic control, is associated with unfavourab...
Hospital Mortality Predictive Value of Tests Cause of Death Atrial Fibrillation Middle Aged Risk Assessment Blood Glucose Time Factors Glycemic Control Critical Illness Intensive Care Units Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Databases, Factual Biomarkers Prognosis Humans Retrospective Studies Machine Learning Decision Support Techniques
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Effective Alzheimer's disease detection using enhanced Xception blending with snapshot ensemble.

Scientific reports Nov 26, 2024
Alzheimer's disease (AD), a prevalent neurodegenerative disorder, leads to progressive dementia, which impairs decision-making, problem-solving, and communication. While there is no cure, early detection can facilitate treatments to slow its progress...
Brain Female Aged Aged, 80 and over Humans Algorithms Biomarkers Alzheimer Disease Neuroimaging Male Disease Progression Deep Learning Magnetic Resonance Imaging
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Graph Convolutional Network for AD and MCI Diagnosis Utilizing Peripheral DNA Methylation: Réseau de neurones en graphes pour le diagnostic de la MA et du TCL à l'aide de la méthylation de l'ADN périphérique.

Canadian journal of psychiatry. Revue canadienne de psychiatrie Nov 25, 2024
OBJECTIVE: Blood DNA methylation (DNAm) alterations have been widely reported in the onset and progression of mild cognitive impairment (MCI) and Alzheimer's disease (AD); however, DNAm is underutilized as a diagnostic biomarker for these diseases. W...
Alzheimer Disease Machine Learning Biomarkers Female Humans Aged, 80 and over Aged Neural Networks, Computer Male Cognitive Dysfunction DNA Methylation
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