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| http://dx.doi.org/10.3389/fgene.2023.1331576 | DOI Listing |
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Machine learning applications in healthcare clinical practice and research.
World J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
View Article and Find Full Text PDFPlatelets as crucial players in the dynamic interplay of inflammation, immunity, and cancer: unveiling new strategies for cancer prevention.
Front Pharmacol
December 2024
Systems Pharmacology and Translational Therapeutics Laboratory, The Center for Advanced Studies and Technology (CAST), "G. d'Annunzio" University, Chieti, Italy.
Inflammation plays a critical role in the pathogenesis of various diseases by promoting the acquisition of new functional traits by different cell types. Shared risk factors between cardiovascular disease and cancer, including smoking, obesity, diabetes, high-fat diet, low physical activity, and alcohol consumption, contribute to inflammation linked to platelet activation. Platelets contribute to an inflammatory state by activating various normal cells, such as fibroblasts, immune cells, and vascular cells.
View Article and Find Full Text PDFCase report: Detecting giant cell arteritis in [Ga]Ga-DOTA-Siglec-9-PET/CT.
Front Immunol
January 2025
Department of Rheumatology and Clinical Immunology, Clinic of Internal Medicine III, University Hospital Bonn, Bonn, Germany.
Objectives: This study aimed to evaluate the diagnostic utility of [Ga]Ga-DOTA-Siglec-9 positron emission tomography-computed tomography (PET/CT) in assessing disease activity in a patient experiencing a relapse of giant cell arteritis (GCA).
Case Presentation: A 90-year-old male patient with GCA, diagnosed in 2018, was enrolled. Demographic data, disease history, and laboratory parameters, including soluble VAP-1 (sVAP-1) levels, were recorded.
Transforming 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 PDFPromoting Physical Activity in People With Parkinson's Disease Through a Smartphone App: A Pilot Study.
J Neurol Phys Ther
January 2025
Center of Expertise for Parkinson & Movement Disorders, Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Gelderland, the Netherlands (S.S., N.M.V., S.K.L.D., B.R.B.); Harvard Medical School, Boston, Massachusetts (A.A., M.A.S., E.A.M.); Departments of Epidemiology and Nutrition, T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts (A.A.); Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts (M.A.S., E.A.M.); Mass General Institute for Neurodegenerative Disease, Massachusetts General Hospital, Boston, Massachusetts (M.A.S.); and Biostatistics Center, Massachusetts General Hospital, Boston, Massachusetts (E.A.M.).
Background And Purpose: Physical activity has beneficial symptomatic effects for people with Parkinson's disease (PD), but increasing-and sustaining-a physically active lifestyle remains challenging. We investigated the feasibility (ability to increase step counts) and usability of a behavioral intervention using a motivational smartphone application to remotely increase physical activity in PD.
Methods: We performed a 4-week, double-blind pilot trial.
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