AIMC Topic: Case-Control Studies

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Machine Learning-Based Diagnosis of Chronic Subjective Tinnitus With Altered Cognitive Function: An Event-Related Potential Study.

Ear and hearing Jan 20, 2025
OBJECTIVES: Due to the absence of objective diagnostic criteria, tinnitus diagnosis primarily relies on subjective assessments. However, its neuropathological features can be objectively quantified using electroencephalography (EEG). Despite the exis...
Machine Learning Female Adult Male Middle Aged Case-Control Studies Cognition Chronic Disease Humans Electroencephalography Tinnitus Evoked Potentials, Auditory Evoked Potentials
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Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder.

Neuroradiology Jan 18, 2025
INTRODUCTION: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI a...
Image Interpretation, Computer-Assisted Adult Male Middle Aged Depressive Disorder, Major Imaging, Three-Dimensional Magnetic Resonance Imaging Diagnosis, Differential Case-Control Studies Bipolar Disorder Humans Machine Learning Brain Female
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The status of serum 25(OH)D levels is related to breast cancer.

Cancer treatment and research communications Jan 17, 2025
AIM: Breast cancer is the second most common cancer among women and the leading cause of cancer-related mortality in this population. Numerous factors have been identified as either risk factors or protective factors for breast cancer. However, the r...
Middle Aged Case-Control Studies Vitamin D Humans Vitamin D Deficiency Female Aged Risk Factors Adult Breast Neoplasms Cross-Sectional Studies
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Machine learning analysis of cervical balance in early-onset scoliosis post-growing rod surgery: a case-control study.

Scientific reports Jan 15, 2025
We aimed to analyze the cervical sagittal alignment change following the growing rod treatment in early-onset scoliosis (EOS) and identify the risk factors of sagittal cervical imbalance after growing-rod surgery of machine learning. EOS patients fro...
Child, Preschool Child Thoracic Vertebrae Cervical Vertebrae Kyphosis Scoliosis Lordosis Female Risk Factors Male Case-Control Studies Humans Machine Learning Retrospective Studies
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Development of a multi-laboratory integrated predictive model for silicosis utilizing machine learning: a retrospective case-control study.

Frontiers in public health Jan 15, 2025
OBJECTIVE: Due to the high global prevalence of silicosis and the ongoing challenges in its diagnosis, this pilot study aims to screen biomarkers from routine blood parameters and develop a multi-biomarker model for its early detection.
Logistic Models Case-Control Studies Female Pilot Projects Humans Adult ROC Curve Machine Learning Male Silicosis Biomarkers Middle Aged Retrospective Studies
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Hypothalamic atrophy in primary lateral sclerosis, assessed by convolutional neural network-based automatic segmentation.

Scientific reports Jan 10, 2025
Primary lateral sclerosis (PLS) is a motor neuron disease (MND) which mainly affects upper motor neurons. Within the MND spectrum, PLS is much more slowly progressive than amyotrophic laterals sclerosis (ALS). `Classical` ALS is characterized by cata...
Male Middle Aged Case-Control Studies Image Processing, Computer-Assisted Neural Networks, Computer Female Aged Adult Hypothalamus Magnetic Resonance Imaging Amyotrophic Lateral Sclerosis Atrophy Motor Neuron Disease Humans
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Combining machine learning and single-cell sequencing to identify key immune genes in sepsis.

Scientific reports Jan 10, 2025
This research aimed to identify novel indicators for sepsis by analyzing RNA sequencing data from peripheral blood samples obtained from sepsis patients (n = 23) and healthy controls (n = 10). 5148 differentially expressed genes were identified using...
Humans Machine Learning Algorithms Female Case-Control Studies Aged Sepsis Male Single-Cell Analysis Middle Aged Sequence Analysis, RNA Gene Expression Profiling
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Anti-ceramide antibody and sphingosine-1-phosphate as potential biomarkers of unresectable non-small cell lung cancer.

Pathology oncology research : POR Jan 6, 2025
OBJECTIVES: Spingosine-1-phosphate (S1P) and ceramides are bioactive sphingolipids that influence cancer cell fate. Anti-ceramide antibodies might inhibit the effects of ceramide. The aim of this study was to assess the potential role of circulating ...
Sphingosine Lysophospholipids Follow-Up Studies Case-Control Studies Lung Neoplasms Carcinoma, Non-Small-Cell Lung Ceramides Adult Biomarkers, Tumor Humans Male Prognosis Middle Aged Female Aged
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Transcriptomic profiling and machine learning reveal novel RNA signatures for enhanced molecular characterization of Hashimoto's thyroiditis.

Scientific reports Jan 3, 2025
While ultrasonography effectively diagnoses Hashimoto's thyroiditis (HT), exploring its transcriptomic landscape could reveal valuable insights into disease mechanisms. This study aimed to identify HT-associated RNA signatures and investigate their p...
RNA, Long Noncoding Hashimoto Disease RNA, Circular Case-Control Studies Gene Regulatory Networks RNA, Messenger MicroRNAs Humans Machine Learning Female Adult Male Middle Aged Gene Expression Profiling Transcriptome
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Gait-based Parkinson's disease diagnosis and severity classification using force sensors and machine learning.

Scientific reports Jan 2, 2025
A dual-stage model for classifying Parkinson's disease severity, through a detailed analysis of Gait signals using force sensors and machine learning approaches, is proposed in this study. Parkinson's disease is the primary neurodegenerative disorder...
Humans Middle Aged Case-Control Studies Severity of Illness Index Machine Learning Parkinson Disease Female Gait Aged Male
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