Zhenyang Xu , Tayebeh Mousavi , Xiaoli Liu , Anita Ahmadi Birjandi , Maya Thanou , Haiming Fan , Mark Ainslie
{"title":"Recent advances in numerical simulation of magnetically guided drug delivery systems and applications","authors":"Zhenyang Xu , Tayebeh Mousavi , Xiaoli Liu , Anita Ahmadi Birjandi , Maya Thanou , Haiming Fan , Mark Ainslie","doi":"10.1016/j.addr.2025.115745","DOIUrl":null,"url":null,"abstract":"<div><div>Magnetically guided drug delivery (MGDD) employs magnetic forces acting on magnetically responsive drug delivery systems (DDS) to direct therapeutic agents toward diseased regions, thereby enhancing local drug accumulation while minimising systemic side effects. Numerical simulation, grounded in the physical principles governing MGDD, provides an efficient computational framework for modelling and visualising these processes, thereby accelerating progress in MGDD research. This review comprehensively summarises recent advances in the application of numerical simulation to MGDD, including magnet design and analysis, multiscale modelling of DDS transport processes at macroscopic, mesoscopic, and microscopic scales, and DDS design and evaluation. In addition, the integration of optimisation algorithms and artificial intelligence (AI) with numerical simulation for MGDD is discussed. Finally, future perspectives are presented, emphasising the development of high-fidelity, multiscale, and AI-driven simulation frameworks to accelerate clinical translation toward personalised, efficient MGDD-based therapeutic systems.</div></div>","PeriodicalId":7254,"journal":{"name":"Advanced drug delivery reviews","volume":"229 ","pages":"Article 115745"},"PeriodicalIF":21.0000,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced drug delivery reviews","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169409X25002303","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/4 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Magnetically guided drug delivery (MGDD) employs magnetic forces acting on magnetically responsive drug delivery systems (DDS) to direct therapeutic agents toward diseased regions, thereby enhancing local drug accumulation while minimising systemic side effects. Numerical simulation, grounded in the physical principles governing MGDD, provides an efficient computational framework for modelling and visualising these processes, thereby accelerating progress in MGDD research. This review comprehensively summarises recent advances in the application of numerical simulation to MGDD, including magnet design and analysis, multiscale modelling of DDS transport processes at macroscopic, mesoscopic, and microscopic scales, and DDS design and evaluation. In addition, the integration of optimisation algorithms and artificial intelligence (AI) with numerical simulation for MGDD is discussed. Finally, future perspectives are presented, emphasising the development of high-fidelity, multiscale, and AI-driven simulation frameworks to accelerate clinical translation toward personalised, efficient MGDD-based therapeutic systems.
期刊介绍:
The aim of the Journal is to provide a forum for the critical analysis of advanced drug and gene delivery systems and their applications in human and veterinary medicine. The Journal has a broad scope, covering the key issues for effective drug and gene delivery, from administration to site-specific delivery.
In general, the Journal publishes review articles in a Theme Issue format. Each Theme Issue provides a comprehensive and critical examination of current and emerging research on the design and development of advanced drug and gene delivery systems and their application to experimental and clinical therapeutics. The goal is to illustrate the pivotal role of a multidisciplinary approach to modern drug delivery, encompassing the application of sound biological and physicochemical principles to the engineering of drug delivery systems to meet the therapeutic need at hand. Importantly the Editorial Team of ADDR asks that the authors effectively window the extensive volume of literature, pick the important contributions and explain their importance, produce a forward looking identification of the challenges facing the field and produce a Conclusions section with expert recommendations to address the issues.