Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 151-160 of 296 results
Bioengineering, 2023 • September 10, 2023
The study developed deep learning models to automate the detection and measurement of the dural sack cross-sectional area (DSCA) in lumbar spine MRI. The MultiResUNet model achieved the highest accura...
KEY FINDING: The MultiResUNet model showed the best performance, with high accuracy in both initial and external validation datasets.
BMC Musculoskeletal Disorders, 2023 • September 24, 2023
This study explores the potential of combining radiomics features from MRI images with clinical features to predict outcomes after lumbar disc herniation surgery using AI techniques. The results sugge...
KEY FINDING: The inclusion of radiomics features alongside clinical variables led to a slight enhancement in predictive accuracy for surgical outcomes.
PLOS ONE, 2023 • October 12, 2023
This study presents a deep learning approach for the fully automatic segmentation of vessels in mice brains using a shallow U-Net model trained on a small μMRI reference dataset. The proposed methodol...
KEY FINDING: Deep learning architectures, specifically a shallow 3D U-Net model, are applicable for segmenting mice brain vessels using small μMRI reference datasets.
Neuron, 2023 • December 20, 2023
Kim et al. identify antioxidant response gene NFE2L2 as a new regulator of axon regeneration and develop a Regeneration Classifier that can be broadly applied to predict the regenerative potential of ...
KEY FINDING: A Regeneration Classifier was developed that can predict the regenerative potential of diverse neuronal types based on their single-cell transcriptomes.
Brain and Behavior, 2023 • November 1, 2023
This study aimed to identify potential biomarkers and enriched pathways in young and aged spinal cord injury (SCI) mouse models using bioinformatics analysis of microarray data. The researchers identi...
KEY FINDING: The study identified 2560 differentially expressed genes (DEGs) in young SCI mice and 3048 DEGs in aged SCI mice compared to their respective controls.
Genes, 2023 • December 8, 2023
This study compares the transcriptomic responses of axolotls and rodents after spinal cord injury (SCI) to identify gene expression differences during the initial days post-injury, aiming to find tran...
KEY FINDING: Immune-related processes increase shortly after SCI in both axolotls and rodents; however, rodents show a more pronounced immune response.
Frontiers in Medicine, 2024 • February 23, 2024
This study identified four genes (Icam1, Ch25h, Plaur and Tm4sf1) related to SCI using bioinformatics methods like WGCNA and LASSO regression. The expression of these genes was validated in SCI rats u...
KEY FINDING: Four characteristic disease genes associated with spinal cord injury were identified: Icam1, Ch25h, Plaur, and Tm4sf1.
Journal of Hematology & Oncology, 2024 • March 11, 2024
This study investigates the proteomic landscape of esophageal squamous cell carcinoma (ESCC) in response to anti-PD1 immunotherapy to identify resistance mechanisms and predictive markers. The researc...
KEY FINDING: Immune and mitochondrial functions are associated with ESCC immunotherapy sensitivity.
European Journal of Medical Research, 2024 • March 11, 2024
The study investigated COMP and ADAMTS7 as potential biomarkers for IVDD. Both animal and human studies showed that COMP and ADAMTS7 expression increased in tissues and serum during IVDD progression....
KEY FINDING: Serum COMP (sCOMP) and serum ADAMTS7 (sADAMTS7) levels increased in a time-dependent manner following IVD damage in the rabbit model.
Metabolic Brain Disease, 2024 • July 9, 2024
This study used lipidomics and metabolomics to investigate lipid and metabolite changes in the spinal cords of diabetic rats with painful neuropathy. The results showed dysregulation of 170 metabolite...
KEY FINDING: Dysregulation of 170 metabolites and 45 lipids was observed in the spinal cords of rats with painful diabetic neuropathy (PDN).