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| http://dx.doi.org/10.34133/hds.0102 | DOI Listing |
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Transforming grayscale MRI images to color utilizing generative artificial intelligence to better understand multiple sclerosis.
J Cent Nerv Syst Dis
January 2025
CRCSEP, Université Nice Cote d'Azur, Nice, France.
Multiple sclerosis (MS) falls within the spectrum of central nervous system (CNS) demyelinating diseases that may lead to permanent neurological disability. Fundamental to the diagnosis and clinical surveillance is magnetic resonance imaging (MRI) that allows for the identification of T2-hyperintensities associated with autoimmune injury that demonstrate distinct spatial distribution patterns. Here, we describe the clinical experience of a 31-year-old, right-handed, White man seen in consultation at The University of Texas Southwestern Medical Center in Dallas, Texas, following complaints of headaches that began after head trauma related to military service.
View Article and Find Full Text PDFTransforming tennis with artificial intelligence: a bibliometric review.
Front Sports Act Living
December 2024
Research Centre for Active Living and WellBeing (LiveWell), Bragança, Portugal.
The aim of this study was to conduct a scoping and bibliometric review of articles using artificial intelligence (AI) in tennis. The analysis covered various aspects of tennis, including performance, health, match results, physiological data, tennis expenditure, and prize amounts. Articles on AI in tennis published until 2024 were retrieved from the Web of Science database.
View Article and Find Full Text PDFTransforming precision medicine: The potential of the clinical artificial intelligent single-cell framework.
Clin Transl Med
January 2025
Department of Cell Biology, Histology and Embryology, Gottfried Schatz Research Center, Medical University of Graz, Graz, Austria.
The editorial, "Clinical and translational mode of single-cell measurements: An artificial intelligent single-cell," introduces the innovative clinical artificial intelligence single-cell (caiSC) system, which merges AI with single-cell informatics to advance real-time diagnostics, disease monitoring, and treatment prediction. By combining clinical data and multimodal molecular inputs, caiSC facilitates personalized medicine, promising enhanced diagnostic precision and tailored therapeutic approaches. Despite its potential, caiSC lacks comprehensive data coverage across cell types and diseases, presenting challenges in data quality and model robustness.
View Article and Find Full Text PDFTransforming dementia research into practice: a multiple case study of academic research utilization strategies in Dutch Alzheimer Centres.
Health Res Policy Syst
January 2025
Erasmus School of Health Policy & Management, PO Box 1738, 3000 DR, Rotterdam, Netherlands.
Background: Non-pharmacological dementia research products, such as social and behavioural interventions, are generated in traditional university settings. These often experience challenges to impact practices that they were developed for. The Netherlands established five specialized academic health science centres, referred to as Alzheimer Centres, to structurally coordinate and facilitate the utilization of dementia research knowledge.
View Article and Find Full Text PDFKnockout or inhibition of DHPS suppresses ovarian tumor growth and metastasis by attenuating the TGFβ pathway.
Sci Rep
January 2025
Department of Pathology and Laboratory Medicine, Collage of Medicine, the University of Tennessee Health Science Center, Memphis, TN, 38163, United States.
Deoxyhypusine synthase (DHPS) is an enzyme encoded by the DHPS gene, with high expression in various cancers, including ovarian cancer (OC). DHPS regulates the translation initiation factor EIF5A, and EIF5A2 knockout inhibits OC tumor growth and metastasis by blocking the epithelial-to-mesenchymal transition (EMT) and the TGFβ pathway. In this study, we show that DHPS is amplified in OC patients, and its elevated expression correlates with poor survival.
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