ArticleCurrent opinion in biomedical engineering2019
Multiscale
Article in Current opinion in biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 42 citations in OpenAlex.
- Direct Numerical Simulations of Inhalation in a 23-Generation Lung Model.International journal for numerical methods in biomedical engineering · 2026Article
- iBCS: 4. Application of the Inhalation Biopharmaceutics Classification System to the Development of Orally Inhaled Drug Products.Molecular pharmaceutics · 2025Review
- Perspectives on physics-based one-dimensional modeling of lung physiology.Frontiers in physiology · 2025Article
- Subject-Specific Multi-Scale Modeling of the Fate of Inhaled Aerosols.Journal of aerosol science · 2025Article
- Practical Considerations in Dose Extrapolation from Animals to Humans.Journal of aerosol medicine and pulmonary drug delivery · 2024Review
- Article
- Exploring the role of electrostatic deposition on inhaled aerosols in alveolated microchannels.Scientific reports · 2023Article
- In vitro-in silico correlation of three-dimensional turbulent flows in an idealized mouth-throat model.PLoS computational biology · 2023Article
- A computed tomography imaging-based subject-specific whole-lung deposition model.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2022Article
- Recent advances in the understanding of alveolar flow.Biomicrofluidics · 2022Review
- Concepts of advanced therapeutic delivery systems for the management of remodeling and inflammation in airway diseases.Future medicinal chemistry · 2022Review
- Human Multi-CompartmentFrontiers in physiology · 2022Article
- Advanced human-relevant in vitro pulmonary platforms for respiratory therapeutics.Advanced drug delivery reviews · 2021Review
- Innovative preclinical models for pulmonary drug delivery research.Expert opinion on drug delivery · 2020Review
- In Silico Optimization of Fiber-Shaped Aerosols in Inhalation Therapy for Augmented Targeting and Deposition across the Respiratory Tract.Pharmaceutics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Inhalation therapy is a hallmark of modern respiratory medicine. Over recent years, computational fluid-particle dynamics (CFPD) simulations of respiratory airflows and aerosol deposition in the lungs have rapidly developed into an increasingly mature research field in the biomedical engineering realm, owing, among others, to tremendous advances in computational capabilities and available resources. Despite such progress, the intrinsic anatomical and physiological complexity of the lungs prevents the straightforward implementation of 'brute force' simulation strategies applied across the entire pulmonary tract. Here, we discuss how knowledge gathered from recent
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.