AIMC Topic: Case-Control Studies

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Improved patient identification by incorporating symptom severity in deep learning using neuroanatomic images in first episode schizophrenia.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Nov 6, 2024
Brain alterations associated with illness severity in schizophrenia remain poorly understood. Establishing linkages between imaging biomarkers and symptom expression may enhance mechanistic understanding of acute psychotic illness. Constructing model...
Deep Learning Adolescent Magnetic Resonance Imaging Schizophrenia Humans Brain Female Young Adult Adult Male Severity of Illness Index Case-Control Studies
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Circulating endothelial progenitor cells and inflammatory markers in type 1 diabetes after an acute session of aerobic exercise.

Archives of endocrinology and metabolism Nov 6, 2024
OBJECTIVE: To determine circulating endothelial progenitor cells (EPC) counts and levels of inflammatory markers in individuals with and without type 1 diabetes mellitus (T1DM) in response to an intense aerobic exercise session.
Case-Control Studies Young Adult Inflammation Humans Adult Diabetes Mellitus, Type 1 Tumor Necrosis Factor-alpha Endothelial Progenitor Cells Male Interleukin-6 Exercise Biomarkers
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Evaluating Advanced Machine Learning Models for Histopathological Diagnosis of Hansen Disease.

The American Journal of dermatopathology Nov 5, 2024
INTRODUCTION: Leprosy is a neglected infectious disease caused by Mycobacterium leprae and Mycobacterium lepromatosis and remains a public health challenge in tropical regions. Therefore, the development of technological tools such as machine learnin...
Humans Neural Networks, Computer Machine Learning Female Decision Trees Predictive Value of Tests Leprosy Adult Male Middle Aged Case-Control Studies
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Screening the Best Risk Model and Susceptibility SNPs for Chronic Obstructive Pulmonary Disease (COPD) Based on Machine Learning Algorithms.

International journal of chronic obstructive pulmonary disease Nov 5, 2024
BACKGROUND AND PURPOSE: Chronic obstructive pulmonary disease (COPD) is a common and progressive disease that is influenced by both genetic and environmental factors, and genetic factors are important determinants of COPD. This study focuses on scree...
ROC Curve Genetic Predisposition to Disease Polymorphism, Single Nucleotide Genetic Association Studies Logistic Models Predictive Value of Tests Middle Aged Risk Assessment Humans Lung Risk Factors Machine Learning Case-Control Studies Algorithms Aged Phenotype Pulmonary Disease, Chronic Obstructive Female Male
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Identification and validation of interferon-stimulated gene 15 as a biomarker for dermatomyositis by integrated bioinformatics analysis and machine learning.

Frontiers in immunology Nov 4, 2024
BACKGROUND: Dermatomyositis (DM) is an autoimmune disease that primarily affects the skin and muscles. It can lead to increased mortality, particularly when patients develop associated malignancies or experience fatal complications such as pulmonary ...
Gene Regulatory Networks Molecular Docking Simulation Dermatomyositis Computational Biology Humans Gene Expression Profiling Gene Expression Regulation Biopsy Machine Learning Molecular Targeted Therapy Case-Control Studies Skin Cytokines Ubiquitins ROC Curve Biomarkers
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Combination of plasma-based lipidomics and machine learning provides a useful diagnostic tool for ovarian cancer.

Journal of pharmaceutical and biomedical analysis Nov 2, 2024
Ovarian cancer (OC), the second leading cause of death among gynecological cancers, is often diagnosed at an advanced stage due to its asymptomatic nature at early stages. This study aimed to explore the diagnostic potential of plasma-based lipidomic...
Least-Squares Analysis Humans Discriminant Analysis Carcinoma, Ovarian Epithelial Machine Learning Lipidomics Adult Female Biomarkers, Tumor Case-Control Studies Aged Middle Aged ROC Curve Lipids Ovarian Neoplasms
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HiDDEN: a machine learning method for detection of disease-relevant populations in case-control single-cell transcriptomics data.

Nature communications Nov 2, 2024
In case-control single-cell RNA-seq studies, sample-level labels are transferred onto individual cells, labeling all case cells as affected, when in reality only a small fraction of them may actually be perturbed. Here, using simulations, we demonstr...
Humans Machine Learning Computational Biology Case-Control Studies Multiple Myeloma Blood-Brain Barrier Single-Cell Analysis Animals RNA-Seq Gene Expression Profiling Mice Transcriptome
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Screening biomarkers for autism spectrum disorder using plasma proteomics combined with machine learning methods.

Clinica chimica acta; international journal of clinical chemistry Oct 29, 2024
BACKGROUND AND AIMS: Autism spectrum disorder (ASD) is a common neurodevelopmental disorder in children. Early intervention is effective. Investigation of novel blood biomarkers of ASD facilitates early detection and intervention.
Child, Preschool Child Proteomics Humans Machine Learning Female Biomarkers Male Autism Spectrum Disorder Case-Control Studies
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A machine learning tool for identifying newly diagnosed heart failure in individuals with known diabetes in primary care.

ESC heart failure Oct 20, 2024
AIMS: We aimed to create a predictive model utilizing machine learning (ML) to identify new cases of congestive heart failure (CHF) in individuals with diabetes in primary health care (PHC) through the analysis of diagnostic data.
Machine Learning Retrospective Studies Female Risk Factors Humans Aged Case-Control Studies Diabetes Mellitus Adult Primary Health Care Follow-Up Studies Male Heart Failure Middle Aged
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Role of Artificial intelligence model in prediction of low back pain using T2 weighted MRI of Lumbar spine.

F1000Research Oct 10, 2024
BACKGROUND: Low back pain (LBP), the primary cause of disability, is the most common musculoskeletal disorder globally and the primary cause of disability. Magnetic resonance imaging (MRI) studies are inconclusive and less sensitive for identifying a...
Humans Artificial Intelligence Lumbar Vertebrae Male Machine Learning Low Back Pain Middle Aged Prospective Studies Case-Control Studies Female Magnetic Resonance Imaging Adult
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