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Background: Few studies have explored the relationship between macronutrient intake and sleep outcomes using daily data from mobile apps.

Objective: This cross-sectional study aimed to examine the associations between macronutrients, dietary components, and sleep parameters, considering their interdependencies.

Methods: We analyzed data from 4825 users of the Pokémon Sleep and Asken smartphone apps, each used for at least 7 days to record objective sleep parameters and dietary components, respectively.

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Background And Objectives: Mitochondrial disorders are multiorgan disorders resulting in significant morbidity and mortality. We aimed to characterize death-associated factors in an international cohort of deceased individuals with mitochondrial disorders.

Methods: This cross-sectional multicenter observational study used data provided by 26 mitochondrial disease centers from 8 countries from January 2022 to March 2023.

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The growing sophistication of tumor molecular profiling has helped to slowly transition oncologic care toward a more personalized approach in different tumor types, including in bladder cancer. The National Comprehensive Cancer Network recommends that all patients with stage IVA and stage IVB urothelial carcinoma have molecular analysis that integrates at least testing to help facilitate the selection of future therapeutic options. Sequencing of tumor-derived tissue is the mainstay to obtain this genomic testing, but as in other cancers, there has been extensive research into the integration of liquid biopsies in longitudinal management.

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Inequalities and Inclusion in Genomics Applied to Healthcare: A Latin American Perspective.

Annu Rev Genomics Hum Genet

January 2025

1Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas, Campinas, Brazil;

Integrating genomics into healthcare within the precision medicine (PM) framework poses distinct challenges in resource-limited regions like Latin America and the Caribbean (LAC). These challenges arise partly from the lack of PM models tailored for low- and middle-income countries. To address this, healthcare authorities in LAC should adopt predictive models to estimate costs and infrastructure needed for PM programs.

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