AIMC Topic: Glucocorticoids

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Identification and validation of glucocorticoid receptor and programmed cell death-related genes in spinal cord injury using machine learning.

Scientific reports Jul 7, 2025
Spinal cord injury (SCI) is a severe neurological disorder, with glucocorticoids like methylprednisolone commonly used for treatment. However, their efficacy and risks remain controversial. Programmed cell death (PCD) mechanisms have been increasingl...
Humans Machine Learning Glucocorticoids Apoptosis Gene Expression Regulation Spinal Cord Injuries Receptors, Glucocorticoid Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Databases, Genetic
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Identification of glucocorticoid-related genes in systemic lupus erythematosus using bioinformatics analysis and machine learning.

PloS one Mar 25, 2025
BACKGROUND: Systemic lupus erythematosus (SLE) is a complex autoimmune disease that has significant impacts on patients' quality of life and poses a substantial economic burden on society.
Lupus Erythematosus, Systemic Gene Regulatory Networks Computational Biology Cluster Analysis Humans Machine Learning Glucocorticoids Molecular Docking Simulation Gene Expression Profiling Transcriptome Case-Control Studies
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Clinical characteristics of adrenal crisis in 371 adult patients with glucocorticoid-induced adrenal insufficiency.

Frontiers in endocrinology Dec 17, 2024
BACKGROUND: Glucocorticoid-induced adrenal insufficiency (GIAI) is a hypothalamic-pituitary-adrenal (HPA) axis dysfunction caused by long-term use of exogenous steroids. Adrenal crisis (AC) is an acute complication of GIAI and one of the reasons for ...
Male Middle Aged Glucocorticoids Adrenal Insufficiency Female Risk Factors Aged Adult Humans Prognosis Retrospective Studies
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[Adrenal insufficiency as part of X-linked adrenoleukodystrophy].

Problemy endokrinologii Dec 5, 2023
BACKGROUND:  X-linked adrenoleukodystrophy (X-ALD) is a severe neurodegenerative metabolic disease with a frequency 1:17,000 in newborn boys. Being a major part of X-ALD with an incidence of 70-80% of patients, adrenal insufficiency (AI) is a life-th...
Child Adrenal Insufficiency Adrenoleukodystrophy Mineralocorticoids Humans Glucocorticoids Retrospective Studies Adolescent Male Child, Preschool
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Screening of Potential Biomarkers in the Peripheral Serum for Steroid-Induced Osteonecrosis of the Femoral Head Based on WGCNA and Machine Learning Algorithms.

Disease markers Feb 10, 2022
BACKGROUND: Steroid-induced osteonecrosis of the femoral head (SONFH) has produced a substantial burden of medical and social experience. However, the current diagnosis is still limited. Thus, this study is aimed at identifying potential biomarkers i...
Femur Head Necrosis Algorithms Biomarkers Glucocorticoids Gene Regulatory Networks Humans Machine Learning
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Evaluation of Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction Based on CT Features of Deep Learning.

Computational and mathematical methods in medicine Dec 21, 2021
This study was aimed at exploring the treatment of asthma children with small airway obstruction in CT imaging features of deep learning and glucocorticoid. A total of 145 patients meeting the requirements in hospital were included in this study, and...
Fractional Exhaled Nitric Oxide Testing Humans Child, Preschool Algorithms Child Tomography, X-Ray Computed Lung Computational Biology Female Deep Learning Airway Obstruction Asthma Adolescent Male Glucocorticoids
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Deep Learning Algorithms-Based CT Images in Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction.

Journal of healthcare engineering Oct 21, 2021
CT image information data under deep learning algorithms was adopted to evaluate small airway function and analyze the clinical efficacy of different glucocorticoid administration ways in asthmatic children with small airway obstruction. The Res-NET ...
Airway Obstruction Humans Algorithms Tomography, X-Ray Computed Asthma Glucocorticoids Deep Learning Child
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Predicting hearing recovery following treatment of idiopathic sudden sensorineural hearing loss with machine learning models.

American journal of otolaryngology Jan 4, 2021
PURPOSE: Idiopathic sudden sensorineural hearing loss (ISSHL) is an emergency otological disease, and its definite prognostic factors remain unclear. This study applied machine learning methods to develop a new ISSHL prognosis prediction model.
Prognosis Retrospective Studies Female Adult Humans Machine Learning Recovery of Function Hearing Hearing Loss, Sensorineural Hearing Loss, Sudden Male Injections, Intralesional Middle Aged Glucocorticoids Logistic Models
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Assessment of Machine Learning to Estimate the Individual Treatment Effect of Corticosteroids in Septic Shock.

JAMA network open Dec 1, 2020
IMPORTANCE: The survival benefit of corticosteroids in septic shock remains uncertain.
Humans Machine Learning Prognosis Intensive Care Units Clinical Decision-Making Female Aged Male Fludrocortisone Hydrocortisone Critical Care Risk Adjustment Organ Dysfunction Scores Glucocorticoids Shock, Septic Randomized Controlled Trials as Topic
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Circulating Neutrophil Extracellular Traps Signature for Identifying Organ Involvement and Response to Glucocorticoid in Adult-Onset Still's Disease: A Machine Learning Study.

Frontiers in immunology Nov 9, 2020
Adult-onset Still's disease (AOSD) is an autoinflammatory disease with multisystem involvement. Early identification of patients with severe complications and those refractory to glucocorticoid is crucial to improve therapeutic strategy in AOSD. Exag...
Extracellular Traps Support Vector Machine Cell-Free Nucleic Acids Still's Disease, Adult-Onset Glucocorticoids Case-Control Studies Treatment Outcome Young Adult Humans Adult Cytokines Male Prognosis Middle Aged Female
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