AIMC Topic: Circulating MicroRNA

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Circulating miRNAs and Machine Learning for Lateralizing Primary Aldosteronism.

Hypertension (Dallas, Tex. : 1979) Oct 17, 2024
BACKGROUND: Distinguishing between unilateral and bilateral primary aldosteronism, a major cause of secondary hypertension, is crucial due to different treatment approaches. While adrenal venous sampling is the gold standard, its invasiveness, limite...
Humans Machine Learning Female Hyperaldosteronism Adrenal Glands Circulating MicroRNA Adult Male Middle Aged
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Machine Learning-Based Etiologic Subtyping of Ischemic Stroke Using Circulating Exosomal microRNAs.

International journal of molecular sciences Jun 20, 2024
Ischemic stroke is a major cause of mortality worldwide. Proper etiological subtyping of ischemic stroke is crucial for tailoring treatment strategies. This study explored the utility of circulating microRNAs encapsulated in extracellular vesicles (E...
Humans Machine Learning Biomarkers High-Throughput Nucleotide Sequencing Circulating MicroRNA MicroRNAs Ischemic Stroke Exosomes Extracellular Vesicles Female Computational Biology Aged Male Middle Aged Gene Expression Profiling
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Machine Learning Analysis of MicroRNA Expression Data Reveals Novel Diagnostic Biomarker for Ischemic Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 19, 2021
OBJECTIVES: Ischemic stroke (IS) is one of the leading causes of morbidity and mortality worldwide. Circulating microRNAs have a potential as minimally invasive biomarkers for disease prediction, diagnosis, and prognosis. In this study, we sought to ...
Support Vector Machine MicroRNAs Predictive Value of Tests Diagnosis, Computer-Assisted Real-Time Polymerase Chain Reaction Ischemic Stroke Feasibility Studies Circulating MicroRNA Machine Learning Reproducibility of Results Aged Middle Aged Case-Control Studies Humans Neural Networks, Computer
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A machine learning approach identified a diagnostic model for pancreatic cancer through using circulating microRNA signatures.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Aug 9, 2020
Late diagnosis of pancreatic cancer (PC) due to the limited effectiveness of modern testing approaches, causes many patients to miss the chance of surgery and consequently leads to a high mortality rate. Pivotal improvements in circulating microRNA e...
Predictive Value of Tests Principal Component Analysis Algorithms Survival Analysis Early Detection of Cancer Circulating MicroRNA Computational Biology Humans Reproducibility of Results MicroRNAs Microarray Analysis Pancreatic Neoplasms Gene Expression Regulation, Neoplastic Sensitivity and Specificity Neural Networks, Computer Kaplan-Meier Estimate Machine Learning
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Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery.

The international journal of neuropsychopharmacology Nov 26, 2020
BACKGROUND: There is a lack of reliable biomarkers for major depressive disorder (MDD) in clinical practice. However, several studies have shown an association between alterations in microRNA levels and MDD, albeit none of them has taken advantage of...
Circulating MicroRNA Affect Antidepressive Agents Case-Control Studies RNA-Seq Biomarkers Humans Treatment Outcome Unsupervised Machine Learning Depressive Disorder, Major Predictive Value of Tests Severity of Illness Index Supervised Machine Learning
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A Machine Learning Approach to Identify a Circulating MicroRNA Signature for Alzheimer Disease.

The journal of applied laboratory medicine Jan 1, 2020
BACKGROUND: Accurate diagnosis of Alzheimer disease (AD) involving less invasive molecular procedures and at reasonable cost is an unmet medical need. We identified a serum miRNA signature for AD that is less invasive than a measure in cerebrospinal ...
Alzheimer Disease Early Diagnosis Circulating MicroRNA Aged Cognitive Dysfunction Brain Humans Sensitivity and Specificity Male Female Autopsy Machine Learning Gene Expression Profiling Reproducibility of Results Transcriptome
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