Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 291-296 of 296 results
Journal of Pathology Informatics, 2022 • December 20, 2022
This study investigates the use of generative adversarial networks (GANs) to enhance the quality of frozen section images by translating them into virtual paraffin sections, aiming to improve diagnost...
KEY FINDING: Pathologists' detection accuracy of virtual paraffin sections was between 0.62 and 0.97, indicating a challenge in distinguishing real from AI-generated images.
Frontiers in Neurorobotics, 2018 • August 10, 2018
This study designed an artificial neural network (ANN) to predict torque exerted around the knee joint by the quadriceps muscle using mechanomyography (MMG) parameters during FES isometric knee extens...
KEY FINDING: ANN models using MMG data (RMS and RMS-ZC) can predict knee extension torque during FES with reasonable accuracy.
FEBS Open Bio, 2022 • January 1, 2022
This study identifies differentially-expressed innate immune-related genes and hub genes following spinal cord injury (SCI). Temporal expression patterns of these genes were analyzed and validated to ...
KEY FINDING: Nine hub genes (Ccl2, Stat3, Mapk14, Stat1, Tlr2, Cxcl10, Myd88, Itgam, and Mapk8) were identified as key players in the innate immune response after SCI.
Scientific Reports, 2019 • January 17, 2019
We considered SCI-induced inflammatory mediators as a type of toxin that inhibits the regeneration of injured tissue/cells, and we identified the associated genes and interacting proteins from known b...
KEY FINDING: Tumor necrosis factor (TNF) had the highest scores, and the top 30 were adopted as core data.
Scientific Reports, 2025 • January 29, 2025
This study uses a transcriptomic approach to investigate the mechanisms by which photobiomodulation (PBM) exerts its effects on spinal cord injury (SCI) in rats. The findings indicate that PBM promote...
KEY FINDING: PBM treatment resulted in 1275 differentially expressed genes (DEGs), with 397 upregulated and 878 downregulated, indicating a significant change in gene expression patterns after PBM.
Neurosci. Bull., 2023 • February 1, 2023
This study uses spatial transcriptomics to analyze gene expression patterns during glial scar formation after spinal cord injury in mice. It identifies key cell types, their spatial distribution, and ...
KEY FINDING: The study identified key regulators in specific cell types, such as Thbs1 and Col1a2 in macrophages.