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Article
Mortality predictors in patients with COVID-19 pneumonia: a machine learning approach using eXtreme Gradient Boosting model
Recently, global health has seen an increase in demand for assistance as a result of the COVID-19 pandemic. This has prompted many researchers to conduct different studies looking for variables that are associ...
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Article
Open AccessSeverity of COVID-19 cases in the months of predominance of the Alpha and Delta variants
New SARS-CoV-2 may pose problems in controlling the COVID-19 pandemic for public health. We aimed to assess and compare the symptoms and severity of cases due to the Alpha and Delta variant dominance periods, ...
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Article
Prevention of venous thromboembolism in hematologic neoplasms: an expert consensus from SEHH–SETH
Venous thromboembolism (VTE) is a serious complication in hematologic neoplasms, so finding adequate prevention strategies is an urgent requirement. However, prospective studies with large enough cohorts are s...
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Article
Performance analysis of narrowband beamforming using fully and partial adaptive beamformers with a spherical array
This research proposes an improved narrowband partial adaptive beamformer analysis using a proposed spherical array. Comparison between the fully and the partial adaptive beamformers is given. The study is per...
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Article
Noise removal in electroencephalogram signals using an artificial neural network based on the simultaneous perturbation method
Electroencephalogram (EEG) recordings often experience interference by different kinds of noise, including white, muscle and baseline, severely limiting its utility. Artificial neural networks (ANNs) are effe...
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Article
An Adaptive Study to Determine the Optimal Dose of the Tablet Formulation of the PARP Inhibitor Olaparib
Olaparib is poorly soluble, requiring advanced drug delivery technologies for adequate bioavailability. Sixteen capsules/day are required for the approved 400 mg twice-daily dose; a tablet formulation was deve...
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Article
Room Acoustics Analysis Using Circular Arrays: A Comparison Between Plane-Wave Decomposition and Modal Beamforming Approaches
A complete room acoustics analysis requires not only measurements of the single-room impulse response, but also a rigorous analysis of the sound field’s spatial properties. Angle-dependent information for the ...
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Article
Eye Movement Artefact Suppression Using Volterra Filter for Electroencephalography Signals
Ocular artefacts are the most important form of interference in electroencephalography (EEG) signals. These eye movements have high amplitude and a frequency band that overlaps that of physiological or brain s...
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Article
Open AccessEconomic Analysis of Thrombo inCode, a Clinical–Genetic Function for Assessing the Risk of Venous Thromboembolism
Patients with venous thromboembolism (VTE) commonly have an underlying genetic predisposition. However, genetic tests nowadays in use have very low sensitivity for identifying subjects at risk of VTE. Thrombo ...
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Article
Cancellation of Powerline Interference from Biomedical Signals Using an Improved Affine Projection Algorithm
Powerline contamination of recorded signals represents a major source of noise in electrophysiology and impairs the use of recordings for research. Furthermore it degrades the signal quality and overwhelms tin...
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Article
Open AccessTumour responses following a steroid switch from prednisone to dexamethasone in castration-resistant prostate cancer patients progressing on abiraterone
Abiraterone is a CYP17A1 inhibitor that improves survival in castration-resistant prostate cancer (CRPC). Abiraterone is licensed in combination with prednisone 5 mg twice daily to prevent a syndrome of second...
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Article
Open AccessA first-in-human study of the anti-α5β1 integrin monoclonal antibody PF-04605412 administered intravenously to patients with advanced solid tumors
A first-in-human clinical trial of a fully human, Fc-engineered IgG1 monoclonal antibody targeting integrin α5β1 was conducted to evaluate tolerability, maximum tolerated dose, pharmacokinetics, pharmacodynami...
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Article
Open AccessValidation and utilisation of high-coverage next-generation sequencing to deliver the pharmacological audit trail
Predictive biomarker development is a key challenge for novel cancer therapeutics. We explored the feasibility of next-generation sequencing (NGS) to validate exploratory genomic biomarkers that impact phase I...
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Article
Dynamic Fuzzy Neural Network Based Learning Algorithms for Ocular Artefact Reduction in EEG Recordings
Frequent occurrence of ocular artefacts leads to serious problems in reading and analysing the electroencephalogram (EEG) signal. These artefacts have high amplitude and overlap** frequency band with the phy...
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Article
Robust Volterra Filter Design for Enhancement of Electroencephalogram Signal Processing
Electroencephalogram (EEG) recordings often experience interference by different kinds of noise, including white, muscle, and baseline, severely limiting its utility. The recent research has demonstrated that ...
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Article
Gradients de PCO2 : un reflet fiable de la perfusion macroet microcirculatoire
L’augmentation des gradients veinoartériel et tissuartériel en CO2 (Pv-aCO2 et Pt-aCO2) est un phénomène régulièrement retrouvé dans des travaux expérimentaux ou des études cliniques sur les défaillances circulat...
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Chapter
Hémofiltration et plasmaphérèse
L’hémofiltration continue et les techniques dérivées, regroupées sous le terme d’épuration extra-rénale continue, sont de plus en plus largement utilisées chez les patients de réanimation. L’hémofiltration con...
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Article
Silibinin inhibits hypoxia-inducible factor-1α and mTOR/p70S6K/4E-BP1 signalling pathway in human cervical and hepatoma cancer cells: implications for anticancer therapy
The hypoxia-inducible factor 1 (HIF-1) plays a critical role for tumour adaptation to microenvironmental hypoxia, and represents an appealing chemotherapeutic target. Silibinin is a nontoxic flavonoid reported...
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Article
Cervical necrotizing fasciitis: 8-years’ experience of microbiology
Cervical necrotizing fasciitis (CNF) is a life-threatening complication of pharyngeal or dental infections. The aim of this paper was to investigate whether dental or pharyngeal source result from different pa...
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Chapter and Conference Paper
Neural Networks Based Approach to remove Baseline drift in Biomedical Signals
Nowadays there exist different approaches to cancel out noise effect and baseline drift in biomedical signals. However, none of them can be considered as completely satisfactory. In this work an artificial neu...