The current feasibility study examined the adherence, reliability, and assessment potential of an evidence-based game-like mobile Monitoring Tool (Akili Interactive Labs), to monitor 100 participants' cognition for eight sessions at a summer camp for children with special needs. A validated measure of attention was administered at baseline. In the last session, participants completed an exit questionnaire. The Monitoring Tool was found to be enjoyable, and showed a high rate of adherence. No Monitor-related adverse events were reported. Monitor metrics showed good reliability across repeated measurements, indicating it is stable over long-term cognitive monitoring. There was evidence that the Monitoring Tool was able to detect differences in cognition between the children diagnosed with attention deficit hyperactivity disorder and autism spectrum disorders.
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http://dx.doi.org/10.1007/s10803-019-03881-w | DOI Listing |
Clin Rheumatol
January 2025
Department of Public Health, University of Murcia, Campus de Ciencias de la Salud, Murcia, 30120, Spain.
Introduction: Therapeutic drug monitoring (TDM) in inflammatory rheumatic diseases (RMDs) is gaining interest. However, there are unresolved questions about the best practices for implementing TDM effectively in clinical settings.
Objective: The primary objective of this study was to evaluate whether early TDM of adalimumab predicts drug survival at 52 weeks in patients with RMDs.
J Clin Monit Comput
January 2025
Department of Anaesthesiology and Intensive Care, Bicetre hospital, Assistance Publique Hôpitaux de Paris (AP-HP), Le Kremlin Bicetre, France.
Intravenous fluid is administered during high-risk surgery to optimize stroke volume (SV). To assess ongoing need for fluids, the hemodynamic response to a fluid bolus is evaluated using a fluid challenge technique. The Acumen Assisted Fluid Management (AFM) system is a decision support tool designed to ease the application of fluid challenges and thus improve fluid administration during high-risk surgery.
View Article and Find Full Text PDFJ Mammary Gland Biol Neoplasia
January 2025
Department of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Fluorescent biosensors offer a powerful tool for tracking and quantifying protein activity in living systems with high temporospatial resolution. However, the expression of genetically encoded fluorescent proteins can interfere with endogenous signaling pathways, potentially leading to developmental and physiological abnormalities. The EKAREV-NLS mouse model, which carries a FRET-based biosensor for monitoring extracellular signal-regulated kinase (ERK) activity, has been widely utilized both in vivo and in vitro across various cell types and organs.
View Article and Find Full Text PDFObes Rev
January 2025
Inserm UMR 1256 Nutrition-Genetics-Environmental Risk Exposure (N-G-ERE), University of Lorraine, Nancy, France.
Limited literature addresses the association between pollution, stress, and obesity, and knowledge synthesis on the associations between these three topics has yet to be made. Two reviewers independently conducted a systematic review of MEDLINE, Embase, and Web of Science Core Collection databases to identify studies dealing with the effects of semi-volatile organic compounds, pesticides, conservatives, and heavy metals on the psychosocial stress response and adiposity in humans, animals, and cells. The quality of papers and risk assessment were evaluated with ToxRTool, BEES-C instrument score, SYRCLE's risk of bias tool, and CAMARADES checklist.
View Article and Find Full Text PDFBiotechnol Bioeng
January 2025
Bioprocess Research and Development (BRD), WuXi Biologics, Shanghai, China.
Serving as a dedicated process analytical technology (PAT) tool for biomass monitoring and control, the capacitance probe, or dielectric spectroscopy, is showing great potential in robust pharmaceutical manufacturing, especially with the growing interest in integrated continuous bioprocessing. Despite its potential, challenges still exist in terms of its accuracy and applicability, particularly when it is used to monitor cells during stationary and decline phases. In this study, data pre-processing methods were first evaluated through cross-validation, where the first-order derivative emerged as the most effective method to diminish variability in prediction accuracy across different training datasets.
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