AIMC Topic: White People

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Bridging Genomic Research Disparities in Osteoporosis GWAS: Insights for Diverse Populations.

Current osteoporosis reports May 24, 2025
PURPOSE OF REVIEW: Genome-wide association studies (GWAS) have significantly advanced osteoporosis research by identifying genetic loci associated with bone mineral density (BMD) and fracture risk. However, disparities persist due to the underreprese...
Humans Machine Learning Bone Density Osteoporosis White People Gene-Environment Interaction Osteoporotic Fractures African People Low Density Lipoprotein Receptor-Related Protein-5 Genome-Wide Association Study Genomics Genetic Predisposition to Disease Core Binding Factor Alpha 1 Subunit Asian People
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Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank.

Nature communications Jan 2, 2025
Bone marrow adipose tissue is a distinct adipose subtype comprising more than 10% of fat mass in healthy humans. However, the functions and pathophysiological correlates of this tissue are unclear, and its genetic determinants remain unknown. Here, w...
UK Biobank Bone Marrow Biological Specimen Banks White People Adiposity United Kingdom Female Aged Adult Male Middle Aged Humans Deep Learning Genome-Wide Association Study Polymorphism, Single Nucleotide Magnetic Resonance Imaging Adipose Tissue
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Do machine learning methods solve the main pitfall of linear regression in dental age estimation?

Forensic science international Dec 20, 2024
INTRODUCTION: Age estimation is crucial in forensic and anthropological fields. Teeth, are valued for their resilience to environmental factors and their preservation over time, making them essential for age estimation when other skeletal remains det...
Machine Learning Female Male Adolescent Child, Preschool Humans White People Child Linear Models Support Vector Machine Age Determination by Teeth Bayes Theorem Black People Radiography, Panoramic South Africa
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Clinical and Multiomic Features Differentiate Young Black and White Breast Cancer Cohorts Derived by Machine Learning Approaches.

Clinical breast cancer Nov 28, 2024
BACKGROUND: There are documented differences in Breast cancer (BrCA) presentations and outcomes between Black and White patients. In addition to molecular factors, socioeconomic, racial, and clinical factors result in disparities in outcomes for wome...
Cohort Studies United States DNA Methylation White People Black or African American Adult Breast Neoplasms Biomarkers, Tumor Middle Aged Gene Expression Profiling Humans Machine Learning Prognosis Female
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Accuracy of 7 Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Extremely Long Caucasian Eyes.

American journal of ophthalmology Nov 12, 2024
PURPOSE: To compare 7 artificial intelligence (AI)-based intraocular lens (IOL) power calculation formulas in extremely long eyes.
Lenses, Intraocular Visual Acuity White People Phacoemulsification Biometry Aged Aged, 80 and over Male Middle Aged Refraction, Ocular Optics and Photonics Axial Length, Eye Lens Implantation, Intraocular Myopia, Degenerative Humans Artificial Intelligence Retrospective Studies Female Reproducibility of Results
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Black-white differences in chronic stress exposures to predict preterm birth: interpretable, race/ethnicity-specific machine learning model.

BMC pregnancy and childbirth Jun 22, 2024
BACKGROUND: Differential exposure to chronic stressors by race/ethnicity may help explain Black-White inequalities in rates of preterm birth. However, researchers have not investigated the cumulative, interactive, and population-specific nature of ch...
Premature Birth Humans Risk Factors Stress, Psychological Young Adult Machine Learning United States Adult Pregnancy White People Risk Assessment Female Black or African American White
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Important Correlates of Purpose in Life in a Diverse Population-Based Cohort: A Machine Learning Approach.

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry Mar 16, 2023
BACKGROUND: Purpose-in-life (PiL) refers to the tendency to derive meaning and purpose from daily life experiences. Individuals with higher PiL were more likely to have better physical, mental, and cognitive health in prospective studies. Here, we ai...
Humans Black People Machine Learning Personal Satisfaction Sociodemographic Factors White People Psychology
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Optimizing hepatitis B virus screening in the United States using a simple demographics-based model.

Hepatology (Baltimore, Md.) Dec 7, 2021
BACKGROUND AND AIMS: Chronic hepatitis B (CHB) affects >290 million persons globally, and only 10% have been diagnosed, presenting a severe gap that must be addressed. We developed logistic regression (LR) and machine learning (ML; random forest) mod...
Hispanic or Latino Sex Factors White People Black or African American Asian Demography Black People Birth Cohort Epidemiological Models Nutrition Surveys United States Mass Screening Hepatitis B, Chronic Patient Selection Machine Learning Female Male Humans ROC Curve Logistic Models
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An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B.

Journal of hepatology Oct 2, 2021
BACKGROUND & AIMS: Several models have recently been developed to predict risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). Our aims were to develop and validate an artificial intelligence-assisted prediction model of...
Female Adult Male Middle Aged Cohort Studies Humans Artificial Intelligence Computer Simulation Hepatitis B, Chronic Republic of Korea Asian People White People Liver Neoplasms Guanine Carcinoma, Hepatocellular Antiviral Agents Follow-Up Studies Tenofovir
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Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study.

The Lancet. Digital health Sep 1, 2021
BACKGROUND: Delays in the diagnosis of genetic syndromes are common, particularly in low and middle-income countries with limited access to genetic screening services. We, therefore, aimed to develop and evaluate a machine learning-based screening te...
Genetic Diseases, Inborn Risk Assessment Internationality Humans Female Face Infant Machine Learning Africa Phenotype Facial Expression Reproducibility of Results Hispanic or Latino Retrospective Studies Asia Sensitivity and Specificity White People Photography Male Point-of-Care Systems
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