AIMC Topic: Case-Control Studies

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Oxidative Phosphorylation Pathway in Ankylosing Spondylitis: Multi-Omics Analysis and Machine Learning.

International journal of rheumatic diseases May 1, 2025
INTRODUCTION: Ankylosing spondylitis (AS) is a chronic inflammatory disease affecting the axial skeleton, characterized by immune microenvironment dysregulation and elevated cytokines like TNF-α and IL-17. Mitochondrial oxidative phosphorylation (OXP...
Adult Male Middle Aged Leukocytes, Mononuclear Gene Expression Profiling Humans Machine Learning Female Spondylitis, Ankylosing Gene Regulatory Networks Multiomics Signal Transduction Mitochondria Oxidative Phosphorylation Transcriptome Case-Control Studies Single-Cell Analysis RNA-Seq
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Incorporating computer vision on smart phone photographs into screening for inflammatory arthritis: results from an Indian patient cohort.

Rheumatology (Oxford, England) May 1, 2025
OBJECTIVES: Convolutional neural networks (CNNs) are increasingly used to classify medical images, but few studies utilize smartphone photographs. The objective of this study was to assess CNNs for differentiating patients from controls and detecting...
Finger Joint Smartphone Arthritis, Rheumatoid Arthritis Photography Humans Sensitivity and Specificity Neural Networks, Computer Male Female Middle Aged Adult Case-Control Studies India
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Different Performances of Machine Learning Models to Classify Dysphonic and Non-Dysphonic Voices.

Journal of voice : official journal of the Voice Foundation May 1, 2025
OBJECTIVE: To analyze the performance of 10 different machine learning (ML) classifiers for discrimination between dysphonic and non-dysphonic voices, using a variance threshold as a method for the selection and reduction of acoustic measurements use...
Speech Production Measurement Voice Quality Humans Dysphonia Bayes Theorem Adult Machine Learning Signal Processing, Computer-Assisted Male Female Acoustics Middle Aged Sound Spectrography Case-Control Studies Reproducibility of Results Speech Acoustics Predictive Value of Tests Young Adult
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Detection of Neurogenic Voice Disorders Using the Fisher Vector Representation of Cepstral Features.

Journal of voice : official journal of the Voice Foundation May 1, 2025
Neurogenic voice disorders (NVDs) are caused by damage or malfunction of the central or peripheral nervous system that controls vocal fold movement. In this paper, we investigate the potential of the Fisher vector (FV) encoding in automatic detection...
Case-Control Studies Support Vector Machine Predictive Value of Tests Speech Production Measurement Aged Signal Processing, Computer-Assisted Phonation Humans Sound Spectrography Acoustics Young Adult Databases, Factual Voice Quality Speech Acoustics Adult Female Dysphonia Vocal Cord Paralysis Male Reproducibility of Results Vocal Cords Middle Aged Voice Disorders
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Comparison of Machine Learning Models for Classification of Breast Cancer Risk Based on Clinical Data.

Cancer reports (Hoboken, N.J.) Apr 1, 2025
BACKGROUND: Breast cancer (BC) is a major global health concern with rising incidence and mortality rates in many developing countries. Effective BC risk assessment models are crucial for prevention and early detection. While the Gail model, a tradit...
Aged Adult Breast Neoplasms Middle Aged Risk Assessment Case-Control Studies Iran Humans Machine Learning Algorithms Female Risk Factors
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Deep learning in the precise assessment of primary Sjögren's syndrome based on ultrasound images.

Rheumatology (Oxford, England) Apr 1, 2025
OBJECTIVES: This study aimed to investigate the value of a deep learning (DL) model based on greyscale ultrasound (US) images for precise assessment and accurate diagnosis of primary Sjögren's syndrome (pSS).
Case-Control Studies Deep Learning Ultrasonography Parotid Gland Sjogren's Syndrome Aged Adult Male Middle Aged Submandibular Gland Lacrimal Apparatus Humans Prospective Studies Female
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Mitochondrial mt12361A>G increased risk of metabolic dysfunction-associated steatotic liver disease among non-diabetes.

World journal of gastroenterology Mar 14, 2025
BACKGROUND: Insulin resistance, lipotoxicity, and mitochondrial dysfunction contribute to the pathogenesis of metabolic dysfunction-associated steatotic liver disease (MASLD). Mitochondrial dysfunction impairs oxidative phosphorylation and increases ...
Humans Adult Male Middle Aged Random Forest Case-Control Studies Cohort Studies Non-alcoholic Fatty Liver Disease Polymorphism, Single Nucleotide DNA, Mitochondrial Logistic Models Diabetes Complications Boosting Machine Learning Algorithms
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The machine learning-based prediction of the sound pressure level from pathological and healthy speech signals.

The Journal of the Acoustical Society of America Mar 1, 2025
Vocal intensity is quantified by sound pressure level (SPL). The SPL can be measured by either using a sound level meter or by comparing the energy of the recorded speech signal with the energy of the recorded calibration tone of a known SPL. Neither...
Pressure Speech Acoustics Speech Production Measurement Voice Quality Humans Machine Learning Female Aged Adult Male Middle Aged Case-Control Studies Signal Processing, Computer-Assisted Sound Spectrography
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Machine learning and metabolomics identify biomarkers associated with the disease extent of ulcerative colitis.

Journal of Crohn's & colitis Feb 4, 2025
BACKGROUND AND AIMS: Ulcerative colitis (UC) is a metabolism-related chronic intestinal inflammatory disease. Disease extent is a key parameter of UC. Using serum metabolic profiling to identify noninvasive biomarkers of disease extent may inform the...
Middle Aged Severity of Illness Index Case-Control Studies Metabolomics Colitis, Ulcerative Discriminant Analysis Machine Learning Humans Biomarkers Female Adult Male
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Cytopathological quantification of NORs using artificial intelligence to oral cancer screening.

Brazilian oral research Jan 1, 2025
Oral squamous cell carcinoma (OSCC) remains the most prevalent neoplasm of the head and neck. In recent decades, the incidence and prevalence of OSCC have not significantly changed, highlighting the critical need to develop and implement new risk ass...
Humans Neural Networks, Computer Artificial Intelligence Carcinoma, Squamous Cell Early Detection of Cancer Mouth Neoplasms Reference Values Antigens, Nuclear Nucleolus Organizer Region Reproducibility of Results Risk Factors Sensitivity and Specificity Risk Assessment Case-Control Studies
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