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http://dx.doi.org/10.1016/j.hrthm.2023.06.011 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Ewing Marion Kauffman Foundation, Kansas City, MO 64110.
Research that better aligns policy, practice, and research communities is gaining momentum around the world. This includes engaged research strategies that bring partners, and their diverse perspectives and kinds of knowledge, together to shape research agendas with on-the-ground-needs and to create dynamic problem-solving processes. These approaches aim to generate more equitable and effective solutions to societal challenges.
View Article and Find Full Text PDFPLoS Negl Trop Dis
January 2025
DeWorm3 Project, Seattle, Washington, United States of America.
Background: Historically, soil-transmitted helminth (STH) control and prevention strategies have relied on mass drug administration efforts targeting preschool and school-aged children. While these efforts have succeeded in reducing morbidity associated with STH infection, recent modeling efforts have suggested that expanding intervention to treatment of the entire community could achieve transmission interruption in some settings. Testing the feasibility of such an approach requires large-scale clinical trials, such as the DeWorm3 cluster randomized trial.
View Article and Find Full Text PDFJ Bronchology Interv Pulmonol
January 2025
Division of Thoracic Surgery and Interventional Pulmonology, Beth Israel Deaconess Medical Center, Harvard Medical School.
Background: Open window thoracostomy (OTW) is the standard of care for debilitated patients with chronic pleural infection and nonexpandable lungs (NEL) who are not candidates for major surgical intervention. Tunneled pleural catheters (TPC) offer tremendous treatment potential in this setting based on their efficacy in malignant pleural effusion and NEL. We aim to assess the efficacy, safety, and health care utilization of TPC in this setting.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
Department of Chemistry, University of Southern California, Los Angeles, California 90089, United States.
Generative artificial intelligence (AI) models trained on natural protein sequences have been used to design functional enzymes. However, their ability to predict individual reaction steps in enzyme catalysis remains unclear, limiting the potential use of sequence information for enzyme engineering. In this study, we demonstrated that sequence information can predict the rate of the S2 step of a haloalkane dehalogenase using a generative maximum-entropy (MaxEnt) model.
View Article and Find Full Text PDFJ Physiol
January 2025
Department of Biomedical Sciences, University of Padova, Padova, Italy.
Short-term unloading experienced following injury or hospitalisation induces muscle atrophy and weakness. The effects of exercise following unloading have been scarcely investigated. We investigated the functional and molecular adaptations to a resistance training (RT) programme following short-term unloading.
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