Artemisinin-based combination therapy (ACT) is the first-line therapy for uncomplicated falciparum malaria, but artemisinin resistance in Asia and now sub-Saharan Africa is threatening our ability to control and eliminate malaria. Triple-ACTs have emerged as a viable alternative treatment to combat declining ACT efficacy due to drug-resistant malaria. In this study, we developed and evaluated an optimal fixed-dose regimen of artemether-lumefantrine-amodiaquine through population pharmacokinetic modeling and simulation. Three published population-based pharmacometric models and two large cohorts of observed adult subjects and pediatric malaria patients were used to simulate pharmacokinetic profiles of different dosing strategies. Based on simulated total exposure and peak concentrations, an optimal dose regimen was developed resulting in an extension of the current 4 weight bands to a total of 5 weight bands to generate equivalent exposures in all body weight groups and minimize the fluctuation in exposure between patients. The proposed drug-to-drug ratio of artemether-lumefantrine-amodiaquine (20:120:40 mg) was kept constant throughout the dosing bands in order to simplify manufacturing, implementation, and further development of a fixed-dose co-formulated product.
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http://dx.doi.org/10.1002/cpt.3582 | DOI Listing |
Sci Rep
March 2025
Department of Pharmaceutical Biotechnology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576140, India.
Population explosion in recent years has driven the environment to overuse nondegradable substances. Microbial polyesters known as polyhydroxyalkanoates (PHAs) are generated and retained as cytoplasmic granules in microorganisms with restricted nutritional availability and can be used to manufacture bioplastics. The current study attempts to screen soil isolates for PHA production and optimize their media parameters.
View Article and Find Full Text PDFJ Neurosci Methods
March 2025
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang Province, China; Zhejiang Key Laboratory of Brain-Machine Collaborative Intelligence, Hangzhou, 310018, Zhejiang Province, China.
Background: Electroencephalogram (EEG)-based speech imagery is an emerging brain-computer interface paradigm, which enables the speech disabled to naturally and intuitively communicate with external devices or other people. Currently, speech imagery research decoding performance is limited. One of the reasons is that there is still no consensus on which domain features are more discriminative.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2024
Spatiotemporal convolutional neural networks (CNNs) have emerged as potent tools for seizure prediction (SP) using electroencephalogram (EEG) signals, probing spatiotemporal biomarkers in epileptic brains. Nevertheless, it poses significant challenges for clinical practice due to the poor interpretability of learned features and the numerous trainable parameters in existing CNNs. To improve the interpretability and performance, this study proposed an interpretable SincNet-based architecture for spatiotemporal CNNs, encompassing EEGNet-8,2, ShallowConvNet, DeepConvNet, and EEGWaveNet, enabling direct visualization of the bandpass temporal filter range using a sinc-convolution layer.
View Article and Find Full Text PDFJ Speech Lang Hear Res
March 2025
Department of Speech and Hearing Sciences, University of Washington, Seattle.
Purpose: Although users can customize the frequency-gain response of hearing aids, the variability in their individual adjustments remains a concern. This study investigated the within-subject variability in the gain adjustments made within a single self-adjustment procedure.
Method: Two experiments were conducted with 20 older adults with mild-to-severe hearing loss.
Prev Med
March 2025
Sandwell and West Birmingham NHS Trust, Birmingham, UK.
Objective: This study evaluates the development and distribution of simple assistive devices designed to support individuals in managing their health conditions at home. The focus is on older adults from lower socio-economic groups in Stoke-on-Trent and Newcastle-under-Lyme, UK.
Methods: Assistive kits were distributed to participants between December 2021 and April 2022, addressing weight management, diabetic foot care, mental wellbeing, and daily living independence.
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