AIMC Topic: Case-Control Studies

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Hand X-rays findings and a disease screening for Turner syndrome through deep learning model.

BMC pediatrics Mar 8, 2025
BACKGROUND: Turner syndrome (TS) is one of the important causes of short stature in girls, but there are cases of misdiagnosis and missed diagnosis in clinical practice. Our aim is to analyze the hand skeletal characteristics of TS patients and estab...
Child ROC Curve Radiography Hand Turner Syndrome Sensitivity and Specificity Case-Control Studies Deep Learning Adolescent Child, Preschool Humans Retrospective Studies Female
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Circulating CCN6/WISP3 in type 2 diabetes mellitus patients and its correlation with insulin resistance and inflammation: statistical and machine learning analyses.

BMC medical informatics and decision making Mar 6, 2025
INTRODUCTION: Cellular Communication Network Factor 6 (CCN6) is an adipokine whose production undergoes significant alterations in metabolic disorders. Given the well-established link between obesity-induced adipokine dysfunction and the development ...
Diabetes Mellitus, Type 2 Insulin Resistance Inflammation Iran Adult Male Middle Aged Case-Control Studies Humans Machine Learning Biomarkers Female
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Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Computers in biology and medicine Mar 5, 2025
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic health records (EHRs) provides an alternative approach for extracting risk predictors...
Humans Young Adult Adult Male Middle Aged Risk Assessment Electronic Health Records Female Aged Aged, 80 and over Predictive Learning Models Psychological Well-Being Natural Language Processing United States Department of Veterans Affairs Case-Control Studies Veterans Adolescent United States Department of Defense Suicide Prevention Suicide, Completed United States
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Bootstrap inference and machine learning reveal core differential plasma metabolic connectome signatures in major depressive disorder.

Journal of affective disorders Mar 3, 2025
BACKGROUND: Major depressive disorder (MDD) involves molecular alterations and pathway dysregulation. Metabolic interconnections are crucial for normal functioning, yet current analysis focuses on individual pathways or biomarkers, overlooking intric...
Metabolic Networks and Pathways Connectome Depressive Disorder, Major Case-Control Studies Metabolomics Metabolome Humans Machine Learning Biomarkers Female Adult Male Middle Aged
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The role of senescence-related genes in major depressive disorder: insights from machine learning and single cell analysis.

BMC psychiatry Mar 3, 2025
BACKGROUND: Evidence indicates that patients with Major Depressive Disorder (MDD) exhibit a senescence phenotype or an increased susceptibility to premature senescence. However, the relationship between senescence-related genes (SRGs) and MDD remains...
Humans Machine Learning Female Depressive Disorder, Major Adult Case-Control Studies Male Single-Cell Analysis Aging Gene Regulatory Networks Middle Aged Cellular Senescence
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Machine Learning-Based Identification of Novel Exosome-Derived Metabolic Biomarkers for the Diagnosis of Systemic Lupus Erythematosus and Differentiation of Renal Involvement.

Current medical science Feb 28, 2025
OBJECTIVE: This study aims to investigate the exosome-derived metabolomics profiles in systemic lupus erythematosus (SLE), identify differential metabolites, and analyze their potential as diagnostic markers for SLE and lupus nephritis (LN).
Support Vector Machine Humans Metabolomics Machine Learning Male Exosomes Diagnosis, Differential Middle Aged Biomarkers Tandem Mass Spectrometry Lupus Nephritis Case-Control Studies Female Lupus Erythematosus, Systemic ROC Curve Adult
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Untargeted Lipidomic Biomarkers for Liver Cancer Diagnosis: A Tree-Based Machine Learning Model Enhanced by Explainable Artificial Intelligence.

Medicina (Kaunas, Lithuania) Feb 26, 2025
: Liver cancer ranks among the leading causes of cancer-related mortality, necessitating the development of novel diagnostic methods. Deregulated lipid metabolism, a hallmark of hepatocarcinogenesis, offers compelling prospects for biomarker identifi...
Aged Humans Middle Aged Adult Artificial Intelligence Case-Control Studies Biomarkers, Tumor Machine Learning Liver Neoplasms Male Female Lipidomics
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Early detection of feline chronic kidney disease via 3-hydroxykynurenine and machine learning.

Scientific reports Feb 26, 2025
Feline chronic kidney disease (CKD) is one of the most frequently encountered diseases in veterinary practice, and the leading cause of mortality in cats over five years of age. While diagnosing advanced CKD is straightforward, current routine tests ...
Kynurenine Renal Insufficiency, Chronic Early Diagnosis Cats Retrospective Studies Cat Diseases Female Machine Learning Animals Biomarkers Male Case-Control Studies
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Serum Metabolomics Profiling Coupled with Machine Learning Identifies Potential Diagnostic and Prognostic Candidate Markers in Meningioma Using Raman Spectroscopy, ATR-FTIR, and LC-MS/MS.

Journal of proteome research Feb 25, 2025
Meningioma, the most prevalent brain tumor, poses significant challenges due to its unclear transition from low-grade to aggressive forms, with limited knowledge about grade-specific markers. We have utilized vibrational spectroscopic techniques such...
Aged Adult Biomarkers, Tumor Male Middle Aged Case-Control Studies Spectrum Analysis, Raman Spectroscopy, Fourier Transform Infrared Metabolomics Humans Machine Learning Prognosis Female Meningeal Neoplasms Chromatography, Liquid Liquid Chromatography-Mass Spectrometry Tandem Mass Spectrometry Meningioma
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Cognitive performance classification of older patients using machine learning and electronic medical records.

Scientific reports Feb 24, 2025
Dementia rates are projected to increase significantly by 2050, posing considerable challenges for healthcare systems worldwide. Developing efficient diagnostic tools is critical, and machine learning (ML) algorithms have shown potential for improvin...
Female Activities of Daily Living Aged Aged, 80 and over Case-Control Studies Humans Male Cognitive Dysfunction Machine Learning Dementia Algorithms Cognition Electronic Health Records Support Vector Machine
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