Background: Current United States Department of Defense (DoD) estimates indicate that women comprise 17% of the total active duty component. Despite this, the specific health needs of service women have often been neglected. The Center for Health Services Research (CHSR) at the Uniformed Services University (USU) has been working to create a portfolio of rapid research synthesis briefs on topics including, but not limited to reproductive health, infertility, pregnancy loss, and contraceptive use among active duty service women. The goal of these briefs is to condense and translate the existing research literature for a non-academic audience. The aim of this study is to evaluate the utility of the research briefs to inform decision making around service women's health issues and impart an overall understanding of the current literature surrounding these topics to a non-academic audience.
Methods: Adopting a previously tested knowledge translation evaluation tool, we conducted a series of key informant interviews in July-August 2022 with decision makers in the Military Health System and the US DoD to elicit feedback regarding the overall utility of the research brief, as well as its ability to meet standards of usefulness, usability, desirability, credibility, and value.
Results: We interviewed a total of 17 participants of a diverse range of healthcare occupations and educational backgrounds, but all currently were working within the Department of Defense in support of the Military Health System. User feedback on the research brief was thematically evaluated based on the predetermined themes of usefulness, desirability, credibility, value, and two emergent themes-findability and language.
Conclusions: This study allowed us to gather key insights from decision makers to better tailor future iterations of our research brief toward rapidly disseminating information for improving the healthcare and policy of active duty service women. The key themes ascertained from this study may help others when adapting their own knowledge translation tools.
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http://dx.doi.org/10.1186/s12961-023-01002-9 | DOI Listing |
Sci Immunol
January 2025
Irving Institute for Cancer Dynamics, Columbia University, New York, NY 10027, USA.
Understanding how intratumoral immune populations coordinate antitumor responses after therapy can guide treatment prioritization. We systematically analyzed an established immunotherapy, donor lymphocyte infusion (DLI), by assessing 348,905 single-cell transcriptomes from 74 longitudinal bone marrow samples of 25 patients with relapsed leukemia; a subset was evaluated by both protein- and transcriptome-based spatial analysis. In acute myeloid leukemia (AML) DLI responders, we identified clonally expanded CD8 cytotoxic T lymphocytes with in vitro specificity for patient-matched AML.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.
Understanding chromatin organization requires integrating measurements of genome connectivity and physical structure. It is well established that cohesin is essential for TAD and loop connectivity features in Hi-C, but the corresponding change in physical structure has not been studied using electron microscopy. Pairing chromatin scanning transmission electron tomography with multiomic analysis and single-molecule localization microscopy, we study the role of cohesin in regulating the conformationally defined chromatin nanoscopic packing domains.
View Article and Find Full Text PDFPLoS One
January 2025
Center for Innovation in Brain Science, University of Arizona Health Sciences, Tucson, Arizona, United States of America.
Translational validity of mouse models of Alzheimer's disease (AD) is variable. Because change in weight is a well-documented precursor of AD, we investigated whether diversity of human AD risk weight phenotypes was evident in a longitudinally characterized cohort of 1,196 female and male humanized APOE (hAPOE) mice, monitored up to 28 months of age which is equivalent to 81 human years. Autoregressive Hidden Markov Model (AHMM) incorporating age, sex, and APOE genotype was employed to identify emergent weight trajectories and phenotypes.
View Article and Find Full Text PDFTransl Vis Sci Technol
January 2025
Glaucoma Service, Wills Eye Hospital, Philadelphia, PA, USA.
Purpose: The integration of artificial intelligence (AI), particularly deep learning (DL), with optical coherence tomography (OCT) offers significant opportunities in the diagnosis and management of glaucoma. This article explores the application of various DL models in enhancing OCT capabilities and addresses the challenges associated with their clinical implementation.
Methods: A review of articles utilizing DL models was conducted, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), autoencoders, and large language models (LLMs).
FEBS J
January 2025
Department of Neurosurgical Engineering and Translational Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Japan.
Alternative splicing (AS) plays an important role in neuronal development, function, and disease. Efforts to analyze the transcriptome of AS in neurons on a wide scale are currently limited. We characterized the transcriptome-wide AS changes in SH-SY5Y neuronal differentiation model, which is widely used to study neuronal function and disorders.
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