AIMC Topic: Inflammation

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Machine-learning models for depression and anxiety in individuals with immune-mediated inflammatory disease.

Journal of psychosomatic research Apr 25, 2020
OBJECTIVE: Individuals with immune-mediated inflammatory disease (IMID) have a higher prevalence of psychiatric disorders than the general population. We utilized machine-learning to identify patient-reported outcome measures (PROMs) that accurately ...
Logistic Models Inflammation Patient Reported Outcome Measures Middle Aged Prevalence Depressive Disorder, Major Anxiety Disorders Cohort Studies Humans Machine Learning Female Young Adult Adult Male
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A double-hit of stress and low-grade inflammation on functional brain network mediates posttraumatic stress symptoms.

Nature communications Apr 20, 2020
Growing evidence indicates a reciprocal relationship between low-grade systemic inflammation and stress exposure towards increased vulnerability to neuropsychiatric disorders, including posttraumatic stress disorder (PTSD). However, the neural correl...
Humans Neural Networks, Computer Cytokines Male Stress Disorders, Post-Traumatic Inflammation Magnetic Resonance Imaging Neural Pathways Brain Nerve Net Republic of Korea Female Young Adult Adult
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A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators.

Scientific reports Feb 20, 2020
Patients with chronic obstructive pulmonary disease (COPD) repeat acute exacerbations (AE). Global Initiative for Chronic Obstructive Lung Disease (GOLD) is only available for patients in stable phase. Currently, there is a lack of assessment and pre...
Humans Machine Learning Algorithms Prognosis Female Reproducibility of Results Inflammation Models, Statistical Decision Trees False Positive Reactions Risk Male Hospitalization Middle Aged Aged Disease Progression Aged, 80 and over Comorbidity Adult ROC Curve Pulmonary Disease, Chronic Obstructive Decision Support Systems, Clinical
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Cenicriviroc, a dual CCR2 and CCR5 antagonist leads to a reduction in plasma fibrotic biomarkers in persons living with HIV on antiretroviral therapy.

HIV research & clinical practice Feb 4, 2020
Chronic HIV is associated with increased inflammation and tissue fibrosis despite suppressive antiretroviral therapy (ART). Monocytes and macrophages have been implicated in the pathogenesis of fibrosis, facilitated by chemokine receptor interaction...
Inflammation Middle Aged Imidazoles Humans HIV Infections Macrophages CCR5 Receptor Antagonists Anti-HIV Agents Receptors, CCR2 Biomarkers Cohort Studies Sulfoxides Female Monocytes Male
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Antioxidant and Anti-inflammatory Diagnostic Biomarkers in Multiple Sclerosis: A Machine Learning Study.

Molecular neurobiology Jan 22, 2020
An imbalance of inflammatory/anti-inflammatory and oxidant/antioxidant molecules has been implicated in the demyelination and axonal damage in multiple sclerosis (MS). The current study aimed to evaluate the plasma levels of tumor necrosis factor (TN...
Antioxidants Nitric Oxide Inflammation Support Vector Machine Oxidation-Reduction Sulfhydryl Compounds Adult Sensitivity and Specificity Male Middle Aged Oxidative Stress Multiple Sclerosis Adiponectin Advanced Oxidation Protein Products Nitrosative Stress Receptors, Tumor Necrosis Factor Humans Neural Networks, Computer Tumor Necrosis Factor-alpha Biomarkers Female
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Using Deep Learning in Ultrasound Imaging of Bicipital Peritendinous Effusion to Grade Inflammation Severity.

IEEE journal of biomedical and health informatics Jan 22, 2020
Inflammation of the long head of the biceps tendon is a common cause of shoulder pain. Bicipital peritendinous effusion (BPE) is the most common biceps tendon abnormality and is related to various shoulder injuries. Physicians usually use ultrasound ...
Muscle, Skeletal Image Interpretation, Computer-Assisted Tendons Shoulder Joint Shoulder Pain Humans Muscular Diseases Neural Networks, Computer Deep Learning Ultrasonography Inflammation
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Mitochondrial dysfunction in rheumatoid arthritis: A comprehensive analysis by integrating gene expression, protein-protein interactions and gene ontology data.

PloS one Nov 8, 2019
Several studies have reported mitochondrial dysfunction in rheumatoid arthritis (RA). Many nuclear DNA (nDNA) encoded proteins translocate to mitochondria, but their participation in the dysfunction of this cell organelle during RA is quite unclear. ...
Gene Ontology Mitochondrial Proteins Oxidative Phosphorylation Apoptosis Reactive Oxygen Species Humans Models, Biological Gene Expression Profiling Mitochondria Protein Interaction Maps Gene Expression Regulation Arthritis, Rheumatoid Inflammation Synovial Membrane
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Application of machine learning to determine top predictors of noncalcified coronary burden in psoriasis: An observational cohort study.

Journal of the American Academy of Dermatology Oct 31, 2019
BACKGROUND: Psoriasis is associated with elevated risk of heart attack and increased accumulation of subclinical noncalcified coronary burden by coronary computed tomography angiography (CCTA). Machine learning algorithms have been shown to effective...
Machine Learning Psoriasis Prospective Studies Obesity Tomography, X-Ray Computed Coronary Artery Disease Adult Female Dyslipidemias Humans Male Coronary Vessels Risk Factors Middle Aged Risk Assessment Comorbidity Inflammation
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Fast and accurate reconstruction of human lung gas MRI with deep learning.

Magnetic resonance in medicine Jul 19, 2019
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.
Bronchiectasis Fourier Analysis Protons Xenon Isotopes Solitary Pulmonary Nodule Tuberculosis, Pulmonary Healthy Volunteers Humans Adult Smoking Algorithms Pulmonary Disease, Chronic Obstructive Retrospective Studies Respiration Prospective Studies Asthma Female Deep Learning Signal-To-Noise Ratio Male Reproducibility of Results Imaging, Three-Dimensional Middle Aged Aged Image Processing, Computer-Assisted Lung Young Adult Inflammation Magnetic Resonance Imaging
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Disability in multiple sclerosis is associated with age and inflammatory, metabolic and oxidative/nitrosative stress biomarkers: results of multivariate and machine learning procedures.

Metabolic brain disease Jul 13, 2019
The aim of this study was to evaluate the immune-inflammatory, metabolic, and nitro-oxidative stress (IM&NO) biomarkers as predictors of disability in multiple sclerosis (MS) patients. A total of 122 patients with MS were included; their disability w...
Humans Machine Learning Biomarkers Female Adult Male Middle Aged Uric Acid Oxidative Stress Homocysteine Inflammation Multiple Sclerosis Body Mass Index Cholesterol, HDL Age Factors Nitrosative Stress Disability Evaluation
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