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Linking and GenBank to the National Clinical Cohort Collaborative.
Learn Health Syst
January 2025
Department of Biomedical Informatics University of Arkansas for Medical Sciences, College of Medicine Little Rock Arkansas USA.
Objective: This project demonstrates the feasibility of connecting medical imaging data and features, SARS-CoV-2 genome variants, with clinical data in the National Clinical Cohort Collaborative (N3C) repository to accelerate integrative research on detection, diagnosis, and treatment of COVID-19-related morbidities. The N3C curated a rich collection of aggregated and de-identified electronic health records (EHR) data of over 18 million patients, including 7.5 million COVID-positive patients, seen at hospitals across the United States.
View Article and Find Full Text PDFPrivacy preserving strategies for electronic health records in the era of large language models.
NPJ Digit Med
January 2025
Graduate School of Public Health, St. Luke's International University, Tokyo, Japan.
GestaltGAN: synthetic photorealistic portraits of individuals with rare genetic disorders.
Eur J Hum Genet
January 2025
Institute for Genomic Statistics and Bioinformatics, Bonn, NRW, Germany.
The facial gestalt (overall facial morphology) is a characteristic clinical feature in many genetic disorders that is often essential for suspecting and establishing a specific diagnosis. Therefore, publishing images of individuals affected by pathogenic variants in disease-associated genes has been an important part of scientific communication. Furthermore, medical imaging data is also crucial for teaching and training deep-learning models such as GestaltMatcher.
View Article and Find Full Text PDFBuilding a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection, and Follow-Up for a Highly Diverse Longitudinal US Cohort of 1 Million People in the All of Us Research Program: Design and Implementation Study.
J Med Internet Res
January 2025
Vibrent Health, Inc, Fairfax, VA, United States.
Background: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.
Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU).
Predictors of HIV testing adherence among men who have sex with men: a cross-sectional study.
BMC Public Health
January 2025
General and Specialized Nursing Department, Graduate Program in Fundamental Nursing, Universidade de São Paulo, Escola de Enfermagem de Ribeirão Preto, Riberão Preto, São Paulo, Brazil.
Men who have sex with men are a target group for HIV prevention and control. HIV testing is part of a broader combination prevention strategy. This study aimed to analyze the predictors for adherence to HIV infection testing among Brazilian men who have sex with men.
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