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Background And Objectives: Magnetic resonance imaging (MRI) and neurohistopathology are important correlates for evaluation of disease progression in multiple sclerosis (MS). Here we used experimental autoimmune encephalomyelitis (EAE) as an animal model of MS to determine the correlation between clinical EAE severity, MRI and histopathological parameters.

Methods: N = 11 female C57BL/6J mice were immunized with human myelin oligodendrocyte glycoprotein 1-125, while N = 9 remained non-immunized.

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This study investigates radiomic efficacy in post-surgical traumatic spinal cord injury (SCI), overcoming MRI limitations from metal artifacts to enhance diagnosis, severity assessment, and lesion characterization or prognosis and therapy guidance. Traumatic spinal cord injury (SCI) causes severe neurological deficits. While MRI allows qualitative injury evaluation, standard imaging alone has limitations for precise SCI diagnosis, severity stratification, and pathology characterization, which are needed to guide prognosis and therapy.

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Machine Learning and Metabolomics Predict Mesenchymal Stem Cell Osteogenic Differentiation in 2D and 3D Cultures.

J Funct Biomater

December 2024

BioMedical Systems Engineering Laboratory, Panoz Institute, School of Pharmacy and Pharmaceutical Sciences, Trinity College, D02 PN40 Dublin, Ireland.

Stem cells have been widely used to produce artificial bone grafts. Nonetheless, the variability in the degree of stem cell differentiation is an inherent drawback of artificial graft development and requires robust evaluation tools that can certify the quality of stem cell-based products and avoid source-tissue-related and patient-specific variability in outcomes. Omics analyses have been utilised for the evaluation of stem cell attributes in all stages of stem cell biomanufacturing.

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Study Design: Retrospective cohort.

Objective: To analyze the annual trends in the most prevalent topics, journals, and geographic regions of the top 100 spine surgery articles, as determined by altmetric attention scores (AASs). We also describe the relationship between AAS and traditional article metrics.

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Background: Differentiating between traumatic and non-traumatic spinal cord injuries (NT-SCI) is critical, as these classifications may significantly impact patients' health outcomes and overall well-being, potentially resulting in differences in treatment protocols and therapeutic efficacy.

Objective: This study aims to compare the quality of life (QoL) and satisfaction with life (SWL) among individuals with traumatic spinal cord injuries (T-SCI), NT-SCI, and the healthy population in China.

Method: A quantitative, cross-sectional survey was conducted between July and December 2020 in the Rehabilitation and Physiotherapy Department of Tongji Hospital, Hubei University of Science and Technology.

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