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Construction of a prognostic signature based on T-helper 17 cells differentiation-related genes for predicting survival and tumor microenvironment in head and neck squamous cell carcinoma.
Medicine (Baltimore)
January 2025
Department of Otolaryngology, Hangzhou Red Cross Hospital (Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine), Hangzhou, Zhejiang, China.
T-helper 17 (Th17) cells significantly influence the onset and advancement of malignancies. This study endeavor focused on delineating molecular classifications and developing a prognostic signature grounded in Th17 cell differentiation-related genes (TCDRGs) using machine learning algorithms in head and neck squamous cell carcinoma (HNSCC). A consensus clustering approach was applied to The Cancer Genome Atlas-HNSCC cohort based on TCDRGs, followed by an examination of differential gene expression using the limma package.
View Article and Find Full Text PDFGenetic tracking of Crimean-Congo haemorrhagic orthonairovirus in Hyalomma population infesting cattle in Nigeria.
PLoS One
January 2025
Faculty of Veterinary Medicine, Department of Veterinary Microbiology, Arbovirology Unit, University of Ibadan, Ibadan, Nigeria.
Crimean-Congo haemorrhagic fever virus (CCHFV), a Biosafety level 4 pathogen transmitted by ticks, causes severe haemorrhagic diseases in humans but remains clinically silent in animals. Over the past forty years, Nigeria lacks comprehensive genetic data on CCHFV in livestock and ticks. This study aimed to identify and characterize CCHFV strains in cattle and their Hyalomma ticks, the primary vector, in Kwara State, Nigeria.
View Article and Find Full Text PDFA novel feature extraction method based on dynamic handwriting for Parkinson's disease detection.
PLoS One
January 2025
School of Computer Science and Engineering, Changchun University of Technology, Changchun, Jilin, China.
Parkinson's disease (PD) is a common disease of the elderly. Given the easy accessibility of handwriting samples, many researchers have proposed handwriting-based detection methods for Parkinson's disease. Extracting more discriminative features from handwriting is an important step.
View Article and Find Full Text PDFThrips dynamics in Allium crops: Unraveling the role of reproductive mode and weather variables in Thrips tabaci population development.
PLoS One
January 2025
Plant Breeding, Wageningen University and Research, Wageningen, The Netherlands.
Thrips tabaci is the main thrips species affecting onion and related species. It is a cryptic species complex comprising three phylogenetic groups characterized by different reproductive modes (thelytoky or arrhenotoky) and host plant specialization. Thrips tabaci populations vary widely in genetic diversity, raising questions about the factor(s) that drive this diversity.
View Article and Find Full Text PDFLow-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal.
PLoS One
January 2025
Nova School of Business and Economics, Universidade Nova de Lisboa, Carcavelos, Portugal.
This empirical study assessed the potential of developing a machine-learning model to identify children and adolescents with poor oral health using only self-reported survey data. Such a model could enable scalable and cost-effective screening and targeted interventions, optimizing limited resources to improve oral health outcomes. To train and test the model, we used data from 2,133 students attending schools in a Portuguese municipality.
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