AIMC Topic: Sex Factors
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Multifactor dimensionality reduction analysis to elucidate the cross-talk between one-carbon and xenobiotic metabolic pathways in multi-disease models.
Molecular biology reports
Feb 4, 2015
Putatively functional polymorphisms of one-carbon and xenobiotic metabolic pathways influence susceptibility for wide spectrum of diseases. The current study was aimed to explore gene-gene interactions among these two metabolic pathways in four disea...
Factor Analysis, Statistical
Lupus Erythematosus, Systemic
Coronary Artery Disease
Humans
Sex Factors
Female
Breast Neoplasms
Male
Transferases
Case-Control Studies
Datasets as Topic
Polymorphism, Single Nucleotide
Genetic Predisposition to Disease
Multifactor Dimensionality Reduction
Gene Expression Regulation
Carbon
Epistasis, Genetic
Oxidoreductases
Xenobiotics
Parkinson Disease
Metabolic Networks and Pathways
Analyses of a cirrhotic patient's evolution using self organizing mapping and Child-Pugh scoring.
Journal of medical systems
Feb 3, 2015
Due to the importance of cirrhosis evolution, this study examined cirrhotic patients using Self Organizing Mapping (SOM) based on the Child-Pugh scoring method. Because Colored Doppler Ultrasound (CDU) has too many parameters, scoring can be a very d...
Artificial neural network and falls in community-dwellers: a new approach to identify the risk of recurrent falling?
Journal of the American Medical Directors Association
Oct 29, 2014
BACKGROUND: Identification of the risk of recurrent falls is complex in older adults. The aim of this study was to examine the efficiency of 3 artificial neural networks (ANNs: multilayer perceptron [MLP], modified MLP, and neuroevolution of augmenti...
Sepsis criteria and kidney function: eliminating sex, age and economic status biases.
Nature reviews. Nephrology
Aug 1, 2025
The kidney is a target organ for the dysregulated host response to infection that defines sepsis, and acute kidney injury (AKI) is often an early manifestation of this response. Current sepsis criteria for adults (Sepsis-3) continue to include outmod...
Representations of skin tone and sex in dermatology by generative artificial intelligence: a comparative study.
Clinical and experimental dermatology
Jul 24, 2025
With generative artificial intelligence (AI) demonstrating potential in dermatological education, assessment of skin tone diversity is imperative to ensure comprehensive patient care. Evaluating DALL·E 3, Midjourney and DreamStudio Beta, we generated...
Evaluating Algorithmic Approaches to Uncover Racial, Ethnic, and Gender Disparities in Scientific Authorship.
American journal of public health
Jul 1, 2025
To explore the capabilities of race/ethnicity and gender prediction algorithms in uncovering patterns of authorship distribution in scientific paper submissions to a major peer-reviewed scientific journal (), we analyzed 17 667 manuscript submissions...
Determining mosquito age using surface-enhanced Raman spectroscopy and artificial neural networks: insights into the influence of origin and sex.
Parasites & vectors
Jun 10, 2025
BACKGROUND: Mosquito-borne diseases, such as malaria, dengue, and Zika, continue to pose significant threats to global health, resulting in millions of cases and thousands of deaths each year. Notably, only older mosquitoes can transmit these disease...
Identification of biomarkers and immune infiltration associated with sexes in SSc: a bioinformatics and machine learning.
Rheumatology (Oxford, England)
Jun 1, 2025
OBJECTIVE: This study aimed to identify key candidate genes associated with the sexes of patients with SSc.
Identifying individuals at risk of post-stroke depression: Development and validation of a predictive model.
Saudi medical journal
May 1, 2025
OBJECTIVES: To identify the factors associated with post-stroke depression (PSD) and develop a machine learning predictive model using a large dataset, considering sociodemographic, lifestyle, and clinical factors.
Concomitant Procedures, Black Race, Male Sex, and General Anesthesia Show Fair Predictive Value for Prolonged Rotator Cuff Repair Operative Time: Analysis of the National Quality Improvement Program Database Using Machine Learning.
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
May 1, 2025
PURPOSE: To develop machine learning models using the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database to predict prolonged operative time (POT) for rotator cuff repair (RCR), as well as use the trained machine l...
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