Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 151-160 of 334 results
International Journal of Molecular Sciences, 2020 • November 27, 2020
This pilot study explored the potential of early CSF biomarkers to predict functional outcomes in spinal cord injury patients. CSF samples were collected within 24 hours of injury, and levels of 38 bi...
KEY FINDING: MIP-1β, MIP-1α, MCP-1, IL-9 and IL-18 were positively associated with neurological level at discharge.
IBRO Neuroscience Reports, 2021 • February 18, 2021
This pilot study investigated urinary metabolic profiles as potential biomarkers for recovery following spinal cord injury (SCI). Urine samples were collected from male SCI patients at one month and s...
KEY FINDING: Caffeine, 3-hydroxymandelic acid, and L-valine levels in initial urine samples correlated with functional improvement as measured by SCIM scores.
IEEE Trans Neural Syst Rehabil Eng, 2021 • January 1, 2021
The paper introduces an FES controller that works across a wide repertoire of movements by using methods of training that are quick and automatic. The controller takes, as inputs, the goal state of th...
KEY FINDING: Controllers trained using HER are more likely to learn to control the arm model within the specified training time.
IEEE Trans Neural Syst Rehabil Eng, 2022 • February 15, 2022
This study investigates methods to enhance reinforcement learning (RL) controllers for functional electrical stimulation (FES) of a human arm model, focusing on improving learning rates, accuracies, a...
KEY FINDING: Curriculum learning improved the number of small targets acquired by as much as 50%.
Sensors, 2022 • September 29, 2022
This study developed and validated a methodology for classifying wheelchair-related shoulder-loading activities (SL-ADL) using wearable sensor data and deep learning. A deep learning model, incorporat...
KEY FINDING: The trained deep learning algorithm achieved an overall accuracy of 98% in classifying wheelchair-related shoulder-loading activities (SL-ADL).
Sensors, 2022 • November 3, 2022
This study proposes a traumatic spinal cord injury (TSCI) classification system using a convolutional neural network (CNN) technique with automatically learned features from electromyography (EMG) sig...
KEY FINDING: The CNN shows promise as a classification technique for TSCI compared to traditional machine learning.
Journal of Clinical Orthopaedics and Trauma, 2022 • October 20, 2022
This review demonstrates ML contributions toward 1) diagnostic accuracy with advances in MRI segmentation and classification 2) acute blood pressure management for optimizing functional AISIA classifi...
KEY FINDING: Machine learning shows promise in improving diagnostic accuracy through advances in MRI segmentation and classification.
Dose-Response: An International Journal, 2022 • October 1, 2022
This study used iTRAQ proteomics to investigate the molecular mechanisms of hyperbaric oxygen therapy (HBOT) in a rat model of spinal cord injury (SCI). The study identified differentially expressed p...
KEY FINDING: HBOT influences biological processes such as oxygen transport, gas transport and regulation of T cell proliferation.
Sensors, 2022 • November 24, 2022
This study introduces a novel controller based on a Reinforcement Learning (RL) algorithm for real-time adaptation of the stimulation pattern during FES-cycling. The participant was able to pedal over...
KEY FINDING: The participant with spinal cord injury was able to pedal overground for distances over 3.5 km using the developed system.
Translational Neurodegeneration, 2022 • December 2, 2022
This review focuses on recent research progress on the pathological roles of EVs released from CNS cells in the pathogenesis of NDs. It summarizes findings that identify CNS-derived EV cargos as poten...
KEY FINDING: EVs play a significant role in the pathogenesis of various neurodegenerative diseases (NDs) including Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, and Huntington’s disease.