AIMC Topic: Case-Control Studies

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Machine learning unveils an immune-related DNA methylation profile in germline DNA from breast cancer patients.

Clinical epigenetics May 15, 2024
BACKGROUND: There is an unmet need for precise biomarkers for early non-invasive breast cancer detection. Here, we aimed to identify blood-based DNA methylation biomarkers that are associated with breast cancer.
Epigenesis, Genetic DNA Methylation East Asian People CpG Islands Breast Neoplasms Biomarkers, Tumor Middle Aged Humans Case-Control Studies Machine Learning Female Aged Adult
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Unveiling the molecular complexity of proliferative diabetic retinopathy through scRNA-seq, AlphaFold 2, and machine learning.

Frontiers in endocrinology May 10, 2024
BACKGROUND: Proliferative diabetic retinopathy (PDR), a major cause of blindness, is characterized by complex pathogenesis. This study integrates single-cell RNA sequencing (scRNA-seq), Non-negative Matrix Factorization (NMF), machine learning, and A...
Single-Cell Analysis Male Molecular Docking Simulation Protein Interaction Maps Humans RNA-Seq Case-Control Studies Sequence Analysis, RNA Diabetic Retinopathy Single-Cell Gene Expression Analysis Oxidative Stress Machine Learning Female
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Predictive Modelling of Postpartum Haemorrhage Using Early Risk Factors: A Comparative Analysis of Statistical and Machine Learning Models.

International journal of environmental research and public health May 7, 2024
Postpartum haemorrhage (PPH) is a significant cause of maternal morbidity and mortality worldwide, particularly in low-resource settings. This study aimed to develop a predictive model for PPH using early risk factors and rank their importance in ter...
Rwanda Logistic Models Models, Statistical Postpartum Hemorrhage Risk Factors Young Adult Adult Case-Control Studies Humans Machine Learning Pregnancy Female
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The role of beat-by-beat cardiac features in machine learning classification of ischemic heart disease (IHD) in magnetocardiogram (MCG).

Biomedical physics & engineering express May 7, 2024
Cardiac electrical changes associated with ischemic heart disease (IHD) are subtle and could be detected even in rest condition in magnetocardiography (MCG) which measures weak cardiac magnetic fields. Cardiac features that are derived from MCG recor...
Algorithms Female Reproducibility of Results Aged Adult Humans Signal Processing, Computer-Assisted Machine Learning Heart Male Heart Rate Middle Aged Myocardial Ischemia Case-Control Studies Magnetocardiography Electrocardiography
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Targeted metabolomics combined with machine learning to identify and validate new biomarkers for early SLE diagnosis and disease activity.

Clinical immunology (Orlando, Fla.) May 6, 2024
BACKGROUND: The early diagnosis of systemic lupus erythematosus (SLE) and the assessment of disease activity progression remain a great challenge. Targeted metabolomics has great potential to identify new biomarkers of SLE.
Humans Adult Male Middle Aged Case-Control Studies Metabolomics Machine Learning Biomarkers Female Young Adult Lupus Erythematosus, Systemic Early Diagnosis
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Sexual and Gender Minority Status and Suicide Mortality: An Explainable Artificial Intelligence Analysis.

International journal of public health May 6, 2024
Suicide risk is elevated in lesbian, gay, bisexual, and transgender (LGBT) individuals. Limited data on LGBT status in healthcare systems hinder our understanding of this risk. This study used natural language processing to extract LGBT status and a...
Case-Control Studies Suicide United States Sexual and Gender Minorities Natural Language Processing Humans Aged Artificial Intelligence Veterans Adult Female Male Risk Factors Middle Aged
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The potential value of oral microbial signatures for prediction of oral squamous cell carcinoma based on machine learning algorithms.

Head & neck May 2, 2024
OBJECTIVE: This study aimed to explore the potential predictive value of oral microbial signatures for oral squamous cell carcinoma (OSCC) risk based on machine learning algorithms.
Microbiota Mouth Algorithms Male Female Humans Middle Aged Carcinoma, Squamous Cell Machine Learning Case-Control Studies Aged Support Vector Machine RNA, Ribosomal, 16S Adult Dysbiosis Predictive Value of Tests Mouth Neoplasms Saliva
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Can oral microbiome predict low birth weight infant delivery?

Journal of dentistry Apr 27, 2024
OBJECTIVES: This study aimed to identify the oral microbiota factors contributing to low birth weight (LBW) in Chinese pregnant women and develop a prediction model using machine learning.
Streptococcus Leptotrichia Saliva Microbiota Mouth Biomarkers Infant, Low Birth Weight Pregnancy Adult Female Case-Control Studies Infant, Newborn China Humans Risk Factors RNA, Ribosomal, 16S Machine Learning Prospective Studies
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Multiplexed serum biomarkers to discriminate nonviable and ectopic pregnancy.

Fertility and sterility Apr 26, 2024
OBJECTIVE: To evaluate combinations of candidate biomarkers to develop a multiplexed prediction model for identifying the viability and location of an early pregnancy. In this study, we assessed 24 biomarkers with multiple machine learning-based meth...
Humans Machine Learning Biomarkers Pregnancy Female Reproducibility of Results Abortion, Spontaneous Adult Case-Control Studies Pregnancy, Ectopic Diagnosis, Differential Predictive Value of Tests Pregnancy Trimester, First
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Risk Classification for Interstitial Cystitis/Bladder Pain Syndrome Using Machine Learning Based Predictions.

Urology Apr 25, 2024
OBJECTIVE: To improve diagnosis of interstitial cystitis (IC)/bladder pain syndrome(IC) we hereby developed an improved IC risk classification using machine learning algorithms.
Biomarkers Female Aged Humans Adult Male Machine Learning Middle Aged Cytokines Risk Assessment Case-Control Studies Cystitis, Interstitial
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