The patient's previously diagnosed dermatologic condition, paired with her recent exposure history, led to the diagnosis in this case.
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An end-to-end implicit neural representation architecture for medical volume data.
PLoS One
January 2025
NCCA, Bournemouth University, Poole, United Kingdom.
Medical volume data are rapidly increasing, growing from gigabytes to petabytes, which presents significant challenges in organisation, storage, transmission, manipulation, and rendering. To address the challenges, we propose an end-to-end architecture for data compression, leveraging advanced deep learning technologies. This architecture consists of three key modules: downsampling, implicit neural representation (INR), and super-resolution (SR).
View Article and Find Full Text PDFGlobal, regional, and national prevalence and trends of infertility among individuals of reproductive age (15-49 years) from 1990 to 2021, with projections to 2040.
Hum Reprod
January 2025
Clinical Experimental Center, Jiangmen Engineering Technology Research Center of Clinical Biobank and Translational Research, Jiangmen Central Hospital, Jiangmen, China.
Study Question: What is the prevalence and trend of infertility among individuals of childbearing age at global, regional, and national levels by sex and socio-demographic index (SDI) across 21 regions and 204 countries and territories?
Summary Answer: Our findings reveal a growing prevalence of infertility among individuals aged 15-49 years worldwide from 1990 to 2021, with an expected continued increase through 2040.
What Is Known Already: Infertility is a persistent global reproductive health issue, leading to significant societal and health consequences. No study has specifically described the current prevalence of infertility, its secular trend, or the variations between regions or countries with different SDI levels.
Digital Health Technology Research Funded by the National Institutes of Health.
JAMA Netw Open
January 2025
National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Importance: Digital health in biomedical research and its expanding list of potential clinical applications are rapidly evolving. A combination of new digital health technologies (DHTs), novel uses of existing DHTs through artificial intelligence- and machine learning-based algorithms, and improved integration and analysis of data from multiple sources has enabled broader use and delivery of these tools for research and health care purposes. The aim of this study was to assess the growth and overall trajectory of DHT funding through a National Institutes of Health (NIH)-wide grant portfolio analysis.
View Article and Find Full Text PDFClinical features and prognosis of anti-MDA5-positive dermatomyositis with coexistent anti-aminoacyl-tRNA synthetase antibodies.
Clin Rheumatol
January 2025
Department of Rheumatology and Immunology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Objectives: This study aimed to evaluate the incidence and clinical significance of coexistence of anti-aminoacyl-tRNA synthetase (anti-ARS) antibody in patients with anti-melanoma differentiation-associated gene 5-positive dermatomyositis (anti-MDA5 + DM).
Methods: We assessed a cohort of 246 consecutive patients with anti-MDA5 + DM. Clinical characteristics and survival rates were compared between patients with and without anti-ARS antibodies.
Spatially dependent tissue distribution of thyroid hormones by plasma thyroid hormone binding proteins.
Pflugers Arch
January 2025
Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA.
Plasma thyroid hormone (TH) binding proteins (THBPs), including thyroxine-binding globulin (TBG), transthyretin (TTR), and albumin (ALB), carry THs to extrathyroidal sites, where THs are unloaded locally and then taken up via membrane transporters into the tissue proper. The respective roles of THBPs in supplying THs for tissue uptake are not completely understood. To investigate this, we developed a spatial human physiologically based kinetic (PBK) model of THs, which produces several novel findings.
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