98%
921
2 minutes
20
A freely available "in vitro dosimetry" web application is presented enabling users to predict the concentration of nanomaterials reaching the cell surface, and therefore available for attachment and internalization, from initial dispersion concentrations. The web application is based on the distorted grid (DG) model for the dispersion of engineered nanoparticles (NPs) in culture medium used for in vitro cellular experiments, in accordance with previously published protocols for cellular dosimetry determination. A series of in vitro experiments for six different NPs, with Ag and Au cores, are performed to demonstrate the convenience of the web application for calculation of exposure concentrations of NPs. Our results show that the exposure concentrations at the cell surface can be more than 30 times higher compared to the nominal or dispersed concentrations, depending on the NPs' properties and their behavior in the cell culture medium. Therefore, the importance of calculating the exposure concentration at the bottom of the cell culture wells used for in vitro arrays, i.e., the particle concentration at the cell surface, is clearly presented, and the tool introduced here allows users easy access to such calculations. Widespread application of this web tool will increase the reliability of subsequent toxicity data, allowing improved correlation of the real exposure concentration with the observed toxicity, enabling the hazard potentials of different NPs to be compared on a more robust basis.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697428 | PMC |
http://dx.doi.org/10.3390/nano12223935 | DOI Listing |
J Eval Clin Pract
September 2025
Pediatric Allergy and Immunology Department, Akdeniz University Hospital, Akdeniz University, Antalya, Türkiye.
Aims And Objectives: To evaluate the efficacy of YoungAsthma, a nurse-led, web-based mHealth intervention on asthma control and self-efficacy among adolescents with asthma utilizing decision tree analysis.
Background: Asthma is a prevalent chronic condition in pediatric populations, necessitating sustained management for optimal disease control.
Design: A randomized controlled clinical trial.
J Eval Clin Pract
September 2025
Health Technology Assessment Unit, Acute and Hospital-Based Care Portfolio, Ontario Health, Toronto, Ontario, Canada.
Rationale: Systematic reviews are essential for evidence-based healthcare decision-making. While it is relatively straightforward to quantitatively assess random errors in systematic reviews, as these are typically reported in primary studies, the assessment of biases often remains narrative. Primary studies seldom provide quantitative estimates of biases and their uncertainties, resulting in systematic reviews rarely including such measurements.
View Article and Find Full Text PDFClin Pharmacol
September 2025
Department of Biology, College of Science Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Cancer remains the second leading cause of death worldwide, highlighting the urgent need for novel therapeutic approaches. Fungi are a rich source of bioactive metabolites, some of which exhibit potent anticancer properties. This scoping review evaluates the current research on fungal metabolites with anticancer potential, focusing on species native to Saudi Arabia's unique ecosystem.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Global Health Economics Centre, Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Background: Artificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagnostic performance and its application when deployed in real-world conditions.
Objective: This study aimed to assess the technical feasibility of integration and diagnostic performance of validated DR screening (DRS) AI algorithms in real-world outpatient public health settings.
Acad Radiol
September 2025
Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China. Electronic address:
Rationale And Objectives: The diagnostic value of traditional imaging methods and radiomics in predicting macrotrabecular-massive hepatocellular carcinoma (MTM HCC) is yet to be ascertained. Therefore, this meta-analysis aims to compare the diagnostic performance of radiomics and conventional imaging techniques for MTM HCC.
Materials And Methods: Comprehensive publications were searched in PubMed, Embase, Web of Science, and Cochrane Library up to 28 February 2025.