Bioinformatics Research

KEY FINDING: Six key anoikis-related genes (HGF, MMP13, ABL1, ELANE, FASN, and LINC00324) were identified as having diagnostic value for NP.

KEY FINDING: The SVM classifier achieved the highest AUC of 1.000 in the training set and 0.915 in the testing set for radiomics models.

KEY FINDING: Combining limb accelerations (LA), clinical data, and demographic information resulted in the highest accuracy in classifying functional ambulation outcomes.

KEY FINDING: Electroacupuncture (EA) significantly increased the mechanical pain threshold in rats with diabetic painful neuropathy (DPN).

KEY FINDING: The study provides a complete dataset of transcriptional changes in the central nervous system of rats with incomplete spinal cord injury following cortical electrical stimulation.

KEY FINDING: The study aims to identify neurophysiological biomarkers, particularly markers of inhibition, that have relevance in the scientific and therapeutic improvement in rehabilitation.

KEY FINDING: A different gene expression regulation is observed in the SC segments rostral and caudal to the lesion.

KEY FINDING: The proposed method achieved an overall accuracy of 96.86% in recognizing physical activities.

KEY FINDING: The machine learning models achieved high accuracy in predicting TAI item scores, with AUC values ranging from 0.79 to 0.94 and precisions over 0.87.

KEY FINDING: Significantly elevated neutrophil numbers in the blood of patients with an acute traumatic SCI and the likelihood of little to no functional improvement at hospital discharge.