Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 31-40 of 334 results
Genes, 2023 • January 9, 2023
This study reports the identification and characterization of a new member of the zebrafish ZBED protein family, named ZBEDX, which is encoded by the previously uncharacterized Zgc:161969 gene. The st...
KEY FINDING: The LOC569044 protein, encoded by the Zgc:161969 gene, is identified as a new member of the zebrafish ZBED protein family and named ZBEDX.
Pol J Radiol, 2023 • January 19, 2023
This study evaluated a deep convolutional neural network (CNN) model for the automatic segmentation of the clinical target volume (CTV) in glioblastoma patients, aiming to improve the efficiency and c...
KEY FINDING: The proposed model achieved high segmentation accuracy with a Dice Similarity Coefficient (DSC) of 89.60 ± 3.56% and a Hausdorff distance of 1.49 ± 0.65 mm.
Journal of Translational Medicine, 2024 • May 24, 2024
This study used untargeted proteomics to identify new candidate biomarkers in blood serum related to neurological recovery after spinal cord injury (SCI). The study found that proteins involved in inf...
KEY FINDING: Differences in subacute recovery after SCI (from 30 to 120 days) are associated with an enrichment in proteins involved in inflammation, coagulation, and lipid metabolism.
Clin Spine Surg, 2023 • April 1, 2023
This study applied a machine learning clustering algorithm to baseline imaging data to identify clinically-relevant CSM patient phenotypes. Using baseline imaging data, we delineated a clinically-mean...
KEY FINDING: The study identified three distinct clusters of CSM patients based on DBSI metrics using k-means clustering.
BMC Genomics, 2023 • April 3, 2023
This study investigates the role of circRNAs in the pathogenesis of spinal cord injury (SCI) using microarray analysis and bioinformatics. The research identifies a ceRNA network involving RNO_CIRCped...
KEY FINDING: SCI leads to differential expression of 414 circRNAs and 5337 mRNAs.
The Journal of Spinal Cord Medicine, 2023 • April 1, 2023
Generative AI, exemplified by ChatGPT, presents both opportunities and challenges for spinal cord injury research and clinical care. ChatGPT can assist medical professionals in accurately interpreting...
KEY FINDING: Generative AI can create virtual models of the human body, including the spinal cord, to simulate injuries and test treatments.
Brain Communications, 2023 • March 16, 2023
This study characterizes the binding properties of Uman-type antibodies used in neurofilament light (NF-L) assays, revealing their specificity for a region within the Coil 2 segment of NF-L. A key fin...
KEY FINDING: Uman antibodies (UD1 and UD2) bind to neighboring epitopes in a short, conserved peptide within the neurofilament light Coil 2 segment.
Nature Communications, 2023 • May 26, 2023
This study uses spatial metabolomics to understand the biology of pulmonary fibrosis (PF) by identifying a potential role for glycogen utilization during fibrosis disease progression. The researchers ...
KEY FINDING: High-dimensionality reduction and spatial clustering (HDR-SC) of MALDI-MSI datasets can accurately identify tissue microanatomy in both healthy and diseased lung tissues.
Diagnostics, 2023 • April 14, 2023
This paper proposes a novel augmented model for spinal cord segmentation and tumor classification using deep nets to overcome this limitation. Multiple Mask Regional Convolutional Neural Networks (MRC...
KEY FINDING: The proposed model achieved a 14.5% better segmentation efficiency compared to state-of-the-art models.
Front. Aging Neurosci., 2023 • May 18, 2023
We downloaded raw counts data of seven high-throughput sequencings and two microarray datasets from the GEO database, classified by species (rat and mouse) and SCI modes (moderate contusive model, aneu...
KEY FINDING: The AIM2/NLRC4/NLRP3 inflammasome-related genes, GSDMD, IL1B, and IL18, were highly expressed in SCI.