Computational Modeling of Drug Delivery
A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Biophysics".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 221
Special Issue Editors
Interests: quantitative biotransport; computational modeling of drug delivery; computational fluid dynamics; computational biophysics; biofluid mechanics
Special Issue Information
Dear Colleagues,
Computational modeling has emerged to be a powerful tool in drug delivery, offering quantitative insights into the mechanisms of the delivery process, identifying novel drug targets, and elucidating complex biological pathways, thereby accelerating new treatment discoveries. By simulating and analyzing the interactions between drugs and biological systems, computational models enable researchers to predict drug behavior, optimize delivery methods, and develop more effective and targeted therapies, which is crucial for improving patient outcomes and enhancing the efficiency of therapeutic interventions.
The aim of this Special Issue is to present cutting-edge advancements in computational modeling as applied to drug delivery, highlighting innovative methodologies and their applications across multiple scales, from cellular to systemic levels. This Special Issue seeks to bring together interdisciplinary research that leverages computational modeling approaches, including physics-based simulations, kinetic models, machine learning, and statistical models, to enhance our understanding of drug delivery mechanisms, optimize therapeutic outcomes, and develop more efficient and targeted drug delivery systems.
We are pleased to invite you to contribute to this interdisciplinary research area by advancing the understanding of the biological mechanisms underlying drug delivery and the controlled release of biotherapeutics through computational modeling. We welcome the submission of original research articles and reviews that explore innovative computational approaches and their applications in drug transport and delivery. Research areas may include (but are not limited to) the following:
- Advanced and innovative computational models for delivering various drug formulations (e.g., monoclonal antibodies, lipid nanoparticles, peptides) through various administration methods, such as subcutaneous and intravenous injections, spanning from cellular to tissue and system scales.
- Modeling the interaction between drug delivery systems and biological barriers (e.g., interstitium matrix, blood–brain barrier, gastrointestinal tract).
- Development of predictive models for pharmacokinetics (PK) and pharmacodynamics (PD) of drug formulations.
- Integration of computational models, such as computational fluid dynamics simulation, with experimental data to improve predictive accuracy of drug delivery.
- Machine learning and statistical models that can be coupled with biophysics-based computational models for personalized medicine and patient-specific drug delivery optimization.
We look forward to receiving your contributions.
Dr. Dingding Han
Dr. Arezoo M. Ardekani
Guest Editors
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Keywords
- computational modeling
- drug delivery
- computational fluid dynamics
- biofluids
- quantitative biotransport
- mathematical models
- artificial intelligence
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