In pandemic mitigation, strategies such as social distancing and mask-wearing are vital to prevent disease resurgence. Yet, monitoring adherence is challenging, as individuals might be reluctant to share behavioral data with public health authorities. To address this challenge and demonstrate a framework for conducting observational research with sensitive data in a privacy-conscious manner, we employ a privacy-centric epidemiological study design: the federated cohort.
View Article and Find Full Text PDFPrivacy protection is paramount in conducting health research. However, studies often rely on data stored in a centralized repository, where analysis is done with full access to the sensitive underlying content. Recent advances in federated learning enable building complex machine-learned models that are trained in a distributed fashion.
View Article and Find Full Text PDFAn athlete's decision to use technology depends on trust in the automation, and confidence in their abilities. Distance measuring devices (DMD) are used in golf to estimate yardage. The purpose of these studies was to examine how DMD usage affects trust in the DMD, confidence in determining yardage manually, and golf performance over time.
View Article and Find Full Text PDFContext: Retrospective studies suggest that adolescents with craniopharyngioma and hypothalamic obesity have increased sleep-disordered breathing (SDB).
Objectives: The objectives of this study were to compare the prevalence of SDB in adolescents with craniopharyngioma-related obesity compared with body mass index (BMI)-matched controls and to explore possible relationships between SDB, insulin resistance, and adipocytokines.
Design: This was a cross-sectional study of obese craniopharyngioma and obese control adolescents.