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[This corrects the article DOI: 10.1371/journal.pone.0235885.].
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J Neurosurg Anesthesiol
October 2025
Department of Anesthesia and Perioperative Medicine, Western University.
Introduction: Current commercial cerebral oximeters only monitor the frontal lobes, however, some cerebrovascular territories may experience ischemia while others remain well perfused. This pilot study used a novel, high-density, dual-wavelength, time-resolved functional cerebral oximeter (Kernel Flow) with 2000 channels to assess the regional differences of cerebral oxygenation (StO2) in response to hypotension across different vascular territories during shoulder surgery in the beach chair position.
Methods: Twenty-seven adult patients were monitored, recording blood pressure, heart rate, regional cerebral oxygen saturation, and other vital parameters.
IEEE J Biomed Health Inform
September 2025
Drug-target interaction (DTI) identification is of great significance in drug development in various areas, such as drug repositioning and potential drug side effects. Although a great variety of computational methods have been proposed for DTI prediction, it is still a challenge in the face of sparsely correlated drugs or targets. To address the impact of data sparsity on the model, we propose a multi-view neighborhood-enhanced graph contrastive learning approach (MneGCL), which is based on graph clustering according to the adjacency relationship in various similarity networks between drugs or targets, to fully exploit the information of drugs and targets with few corrections.
View Article and Find Full Text PDFGeospat Health
July 2025
Centre for Tropical Medicine Brasília, University of Brasília.
This study aimed to compare different address geocoding services and their applicability to epidemiological surveillance using dengue as an example. We applied a cross-sectional, descriptive study based on case notifications in the Notifiable Diseases Information System (SINAN) for the Brazilian capital in 2014 that includes complete postal code (CEP) information identified in the National Address Database for Statistical Purposes (CNEFE), which is considered the 'gold standard' for accuracy analysis. For records without CEP, georeferencing was performed through linkage of the original database with four geocoding tools: Google Maps, CNEFE, OpenStreetMap (OSM) and ArcGIS.
View Article and Find Full Text PDFJ Cell Mol Med
August 2025
Department of Information Systems, College of Computer and Information Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Cardiovascular diseases (CVDs) are still the leading cause of death in the worldwide. Traditional machine learning models often have difficulty in determine how to capture the complex links between disease risk factors and disease occurrence. This article discusses a hybrid machine learning approach for cardiovascular risk prediction (HMLCRP) to address this problem.
View Article and Find Full Text PDFBiom J
October 2025
Department of Mathematics and Statistics, University of Regina, Regina, Saskatchewan, Canada.
Partially linear models are commonly used in observational studies of the causal effect of treatment and/or exposure when there are observed confounding variables. The models are robust and asymptotically distribution-free for testing the causal null hypothesis. In this research, we investigate methods for estimating the partially linear models with data missing at random in all the variables, including the response, the treatment, and the confounding variables.
View Article and Find Full Text PDF