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3D reconstruction of shoulder muscles in hominoid primates: Correlating scapular attachment areas with muscle volume.
J Anat
January 2025
Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Digital muscle reconstructions have gained attraction in recent years, serving as powerful tools in both educational and research contexts. These reconstructions can be derived from various 2D and 3D data sources, enabling detailed anatomical analyses. In this study, we evaluate the efficacy of surface scans in accurately reconstructing the volumes of the rotator cuff and teres major muscles across a diverse sample of hominoids.
View Article and Find Full Text PDFNovel numerical and artificial neural computing with experimental validation towards unsteady micropolar nanofluid flow across a Riga plate.
Sci Rep
January 2025
Department of Mechanical Engineering, College of Engineering and Computer Sciences, Jazan University, P.O Box 45124, Jazan, Saudi Arabia.
Fluid flow across a Riga Plate is a specialized phenomenon studied in boundary layer flow and magnetohydrodynamic (MHD) applications. The Riga Plate is a magnetized surface used to manipulate boundary layer characteristics and control fluid flow properties. Understanding the behavior of fluid flow over a Riga Plate is critical in many applications, including aerodynamics, industrial, and heat transfer operations.
View Article and Find Full Text PDFMachine learning-based interpretation of non-contrast feature tracking strain analysis and T1/T2 mapping for assessing myocardial viability.
Sci Rep
January 2025
Cardiovascular Research Center, Rajaie Cardiovascular, Medical, and Research Center, University of Medical Sciences, Tehran, Iran.
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for viability evaluation, it has limitations, including contraindications in patients with renal dysfunction and lengthy scan times. This study investigates the potential of non-contrast CMR techniques-feature tracking strain analysis and T1/T2 mapping-combined with machine learning (ML) models, as an alternative to LGE-CMR for myocardial viability assessment.
View Article and Find Full Text PDFNovel model of the region of interest modified Mayo Adhesive Probability score.
World J Urol
January 2025
Department of Urology, National Cancer Center Hospital East, Chiba, Japan.
Purpose: To evaluate the association between the newly developed region of interest (ROI)-modified Mayo Adhesive Probability (MAP) score, in which stranding was re-evaluated by computed tomography (CT) number, for predicting operation time in robot-assisted partial nephrectomy (RAPN).
Methods: The study participants were 119 patients who underwent transperitoneal RAPN. With regard to stranding, ROIs were evaluated, and the mean CT numbers were assigned a score ranging from 0 to 3.
Development and validation of a new nomogram for self-reported OA based on machine learning: a cross-sectional study.
Sci Rep
January 2025
Department of Rheumatology and Immunology, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Developing a new diagnostic prediction model for osteoarthritis (OA) to assess the likelihood of individuals developing OA is crucial for the timely identification of potential populations of OA. This allows for further diagnosis and intervention, which is significant for improving patient prognosis. Based on the NHANES for the periods of 2011-2012, 2013-2014, and 2015-2016, the study involved 11,366 participants, of whom 1,434 reported a diagnosis of OA.
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