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A Neurocysticercosis Case from Timor-Leste, A Previously Unidentified Region of Human Taeniasis Endemicity.
Am J Trop Med Hyg
January 2025
Department of Environmental Biology & Medical Parasitology, Hanyang University College of Medicine, Seoul, Republic of Korea.
Neurocysticercosis, a central nervous system infection caused by the zoonotic parasite Taenia solium, is a leading cause of acquired epilepsy worldwide. It is common in areas with extensive pig farming and pork consumption. This report presents an unusual case of neurocysticercosis in a 28-year-old male from Timor-Leste, a region of nonendemicity for human cases of Taenia solium.
View Article and Find Full Text PDFA systematic review on the trend of transcriptomic study in livestock: An effort to unwind the complexity of adaptation in a climate change environment.
Heliyon
January 2025
Centre for Agricultural Genomics and Biotechnology, University of Debrecen, Debrecen, 4032, Hungary.
Heat stress has been proven to cause negative effects on livestock leading to lower productivity and economic value. Understanding how heat stress manifests within an animal's body is the first step in devising a heat stress mitigation strategy; transcriptomic studies are one of the methods used. Here, using a systematic literature review methodology, we examine the recent decade of transcriptomics' application to the study of livestock adaptation.
View Article and Find Full Text PDFOutcomes following resective and disconnective strategies in the treatment of epileptic spasms: a systematic review of the literature and individual patient data meta-analysis.
Front Neurol
December 2024
Brain and Development Research Axis, Azrieli CHU Ste-Justine Research Center, Montreal, QC, Canada.
Epileptic spasms (ES) are a unique seizure type typically presenting in the form of infantile epileptic spasms syndrome (IESS) with characteristic hypsarrhythmia on scalp EEG and a preponderance with developmental delay or regression. While pharmacotherapy is the mainstay of treatment, surgical options, including disconnective or resective procedures, are increasingly recognized as viable therapeutic options for recurrent or persistent ES. However, limited data on safety, effectiveness, and prognostic factors hinder informed decision-making regarding surgery indications, timing, and intervention type.
View Article and Find Full Text PDFtdCoxSNN: Time-dependent Cox survival neural network for continuous-time dynamic prediction.
J R Stat Soc Ser C Appl Stat
January 2025
Department of Biostatistics and Health Data Science, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
The aim of dynamic prediction is to provide individualized risk predictions over time, which are updated as new data become available. In pursuit of constructing a dynamic prediction model for a progressive eye disorder, age-related macular degeneration (AMD), we propose a time-dependent Cox survival neural network (tdCoxSNN) to predict its progression using longitudinal fundus images. tdCoxSNN builds upon the time-dependent Cox model by utilizing a neural network to capture the nonlinear effect of time-dependent covariates on the survival outcome.
View Article and Find Full Text PDFExploration of interprofessional collaboration for the diagnosis of infections and antibiotic prescription in nursing homes using multiple case study observational research.
JAC Antimicrob Resist
February 2025
Inserm, INSPIIRE, Université de Lorraine, Nancy F-54000, France.
Background: Antibiotic resistance in nursing homes (NHs) is inconsistently tackled by antimicrobial stewardship programmes. The literature on individual determinants of antibiotic prescriptions (APs) in NHs is extensive. However, less is known about the structural determinants of AP in NHs.
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