Computational and Mathematical Methods in Medicine

Multiscale Computational Models for Respiratory Aerosol Dynamics with Medical Applications


Publishing date
01 Mar 2019
Status
Published
Submission deadline
26 Oct 2018

Lead Editor

1Oklahoma State University, Stillwater, USA

2University of Copenhagen, Copenhagen, Denmark

3Western Sydney University, Penrith, Australia

4Southeast University, Nanjing, China


Multiscale Computational Models for Respiratory Aerosol Dynamics with Medical Applications

Description

Inhalation of therapeutic drug aerosols is now becoming a novel way to administer micro/nanoparticles or vapors to treat lung and systemic diseases. Several attempts of such delivery have been made at least in experimental analyses on asthma, chronic obstructive pulmonary disease (COPD), lung hypoxia, edema, lung injury, lung transplantation fungal infection, pulmonary fibrosis, and lung cancer. However, due to certain design deficiencies, existing pulmonary drug delivery devices still have poor efficiencies for delivering drugs to designated sites. Significant portions of the aggressive medicine deposit on healthy tissues, which causes severe side effects and induces extra health care expenses. Therefore, there is an urgent need to understand the aerosol drug dynamics better and develop a revolutionary patient-specific pulmonary drug delivery method and device to improve therapeutic outcomes by significantly improving drug delivery efficacy significantly. Due to the invasive nature and imaging resolution limitations, clinical and animal studies are not able to provide the high-resolution data for the researcher to understand the particle dynamics in human lung airways. Compared to experimental investigations, an accurate and realistic computer simulation model, that is, a Computational Fluid-Particle Dynamics (CFPD) model governed by natural laws of physics, would significantly contribute to reducing the research time and cost and visualize drug-aerosol transport and deposition patterns with high resolution to advance the fundamental understanding of the underlying physics. To pave the way for the next-generation numerical model, challenges and potential breakthroughs may include (1) running simulations in human respiratory systems with entire conducting and respiratory zone configurations; (2) encompassing the complex airflow-particle-structure dynamics, for example, moving airway boundary, mucus clearance, and particle-particle interactions; and (3) coupling with PBPK/PD models and applications in drug inhaler design and formulation engineering to enhance the translocation efficiency to specific systemic regions.

The aim of this special issue is to attract studies which provide the most advanced multiscale numerical modeling efforts for respiratory aerosol dynamics in pulmonary drug delivery device, human respiratory systems, and systemic regions. We would like to use this occasion to provide in-depth discussions of the whole range of progress and challenges related to the establishment of the numerical modeling framework to predict the transport, deposition, and translocation of inhaled drug aerosols. The ultimate goal is to find the most feasible way for the development of the next-generation multiscale model, which will bring the computational respiratory aerosol dynamics simulations to health endpoints with the details never undertaken before.

Potential topics include but are not limited to the following:

  • Multiscale models (e.g., CFPD-PBPK models) for precise drug deliveries to pulmonary or systemic regions
  • Advanced numerical models for particle transport in alveolar region with wall motions
  • Complete airway tree reconstructions for CFPD simulations for full breathing cycles
  • Intersubject variability effect on inhaled drug aerosol transport and deposition patterns, literally CFPD simulations with error bars
  • In silico studies focusing on generalized pulmonary drug delivery and drug particulate matter dynamics related research areas, such as drug inhaler design optimizations and formulation engineering

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 4304139
  • - Editorial

Multiscale Computational Models for Respiratory Aerosol Dynamics with Medical Applications

Yu Feng | Xiaole Chen | ... | Ke-jun Dong
  • Special Issue
  • - Volume 2019
  • - Article ID 3859815
  • - Research Article

State-Dependent Pulse Vaccination and Therapeutic Strategy in an SI Epidemic Model with Nonlinear Incidence Rate

Kaiyuan Liu | Tongqian Zhang | Lansun Chen
  • Special Issue
  • - Volume 2019
  • - Article ID 5952941
  • - Research Article

Modeling Airflow and Particle Deposition in a Human Acinar Region

Arun V. Kolanjiyil | Clement Kleinstreuer
  • Special Issue
  • - Volume 2018
  • - Article ID 3649391
  • - Research Article

Airflow and Particle Deposition in Acinar Models with Interalveolar Septal Walls and Different Alveolar Numbers

Jinxiang Xi | Mohamed Talaat | ... | Khaled Talaat
  • Special Issue
  • - Volume 2018
  • - Article ID 3176893
  • - Research Article

Modeling Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells: Stability and Hopf Bifurcation

Yahui Ji | Wanbiao Ma | Keying Song
  • Special Issue
  • - Volume 2018
  • - Article ID 6564854
  • - Research Article

A Feasible Computational Fluid Dynamics Study for Relationships of Structural and Functional Alterations with Particle Depositions in Severe Asthmatic Lungs

Sanghun Choi | Shinjiro Miyawaki | Ching-Long Lin
  • Special Issue
  • - Volume 2018
  • - Article ID 9425375
  • - Research Article

Numerical Simulations of the Motion and Deformation of Three RBCs during Poiseuille Flow through a Constricted Vessel Using IB-LBM

Rongyang Wang | Yikun Wei | ... | Wenguang Zheng
  • Special Issue
  • - Volume 2018
  • - Article ID 7873902
  • - Research Article

Analysis and Numerical Simulations of a Stochastic SEIQR Epidemic System with Quarantine-Adjusted Incidence and Imperfect Vaccination

Fei Li | Xinzhu Meng | Xinzeng Wang
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate28%
Submission to final decision102 days
Acceptance to publication41 days
CiteScore1.840
Impact Factor1.563
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