APPLICATION OF MULTIPHYSICS MODELING TO COMBINE ELECTROMAGNETIC THEORY, TISSUE BIOMECHANICS, AND CLINICAL IMAGING FOR NEXT-GENERATION MEDICAL DIAGNOSTIC AND THERAPEUTIC DEVICES
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Abstract
Multiphysics modeling combines electromagnetic theory and tissue biomechanics for applications in medical diagnostics and therapeutic device design. Future medical devices will incorporate embedded sensors and actuators that measurably interact with the patient, thereby requiring anticipation of coupled interactions between electromagnetic fields and biological structures. Understandings of sensing and therapeutic implementations support new medical device designs, allowing guidance, control, and landmarking to facilitate next-generation therapies. Diagnostic applications include virtually all clinically established imaging techniques, and validation methods for targeted therapies rapidly improve patient outcomes. The development of therapeutic techniques explores low-level direct applicator-to-tissue couplings that hold promise for tissue regeneration and enhancement.
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[1] I. Sack, "Magnetic resonance elastography from fundamental soft-tissue mechanics to diagnostic imaging," Nature Reviews Physics, 2023. [HTML]
[2] T. Beyer, D. L. Bailey, U. J. Birk, I. Buvat, C. Catana, et al., "Medical physics and imaging–A timely perspective," Frontiers in Physics, vol. 2021. frontiersin.org
[3] J. H. Bracamonte, S. K. Saunders, J. S. Wilson, U. T. Truong, "Patient-specific inverse modeling of in vivo cardiovascular mechanics with medical image-derived kinematics as input data: concepts, methods, and …," Applied Sciences, vol. 12, no. X, pp. Y-Z, 2022. mdpi.com
[4] G. A. Truskey, "The potential of deep learning to advance clinical applications of computational biomechanics," Bioengineering, 2023. mdpi.com
[5] K. Gopalakrishnan, A. Adhikari, N. Pallipamu, M. Singh, "Applications of microwaves in medicine leveraging artificial intelligence: Future perspectives," *Electronics*, 2023. mdpi.com
[6] J. C. Chiao, C. Li, J. Lin, and R. H. Caverly, "Applications of microwaves in medicine," *Journal of Microwaves*, 2022. ieee.org
[7] S. Mumtaz, J. N. Rana, E. H. Choi, and I. Han, "Microwave radiation and the brain: Mechanisms, current status, and future prospects," *International Journal of Molecular Sciences*, vol. XX, no. YY, pp. ZZ-ZZ, 2022. mdpi.com
[8] V. E. Moiseenko and O. Agren, "Curl-free positive definite form of time-harmonic Maxwells equations well-suitable for iterative numerical solving," 2020. [PDF]
[9] F. Moradi Kashkooli and M. C. Kolios, "Multi-scale and multi-physics models of the transport of therapeutic/diagnostic cancer agents," Cancers, 2023. mdpi.com
[10] D. I. Fotiadis, A. I. Sakellarios, and V. T. Potsika, "Multiscale Modelling in Biomedical Engineering," 2023. [HTML]
[11] F. Moradi Kashkooli, T. K. Hornsby, et al., "Ultrasound‐mediated nano‐sized drug delivery systems for cancer treatment: Multi‐scale and multi‐physics computational modeling," Wiley, 2024. wiley.com
[12] B. Esfandiar Jahromi, "Multiphysical modelling of mechanical behaviour of soft tissue : application to prostate," 2017. [PDF]
[13] S. Loerakker and J. D. Humphrey, "Computer Model-Driven Design in Cardiovascular Regenerative Medicine," 2023. ncbi.nlm.nih.gov
[14] F. Milat, S. K. Ramchand, M. Herath, et al., "Primary hyperparathyroidism in adults—(Part I) assessment and medical management: Position statement of the endocrine society of Australia, the Australian & New …," Clinical …, 2024. unimelb.edu.au
[15] AC Mallawaarachchi, L. Fowles, and L. Wardrop, "Genomic testing in patients with kidney failure of an unknown cause: a national Australian study," *Clinical Journal of the …*, 2024. lww.com
[16] A. MOGAD Study Group, "The clinical relevance of MOG antibody testing in cerebrospinal fluid," Annals of Clinical, vol. 2024, Wiley Online Library. wiley.com
[17] M. Kojic, M. Milosevic, and A. Ziemys, "Computational models in biomedical engineering: finite element models based on smeared physical fields: theory, solutions, and software," 2022. [HTML]
[18] B. Gudenkauf, A. G. Hays, J. Tamis‐Holland, et al., "Role of multimodality imaging in the assessment of myocardial infarction with nonobstructive coronary arteries: beyond conventional coronary angiography," *Journal of the American Heart Association*, vol. 2022. ahajournals.org
[19] T. Edvardsen, F. M. Asch, B. Davidson, et al., "Non-invasive imaging in coronary syndromes: recommendations of the European Association of Cardiovascular Imaging and the American Society of …," *European Heart Journal - Cardiovascular Imaging*, 2022. journalofcardiovascularct.com
[20] A. Hazra, G. Lube, and H. G. Raumer, "Numerical Simulation of Bloch Equations for Dynamic Magnetic Resonance Imaging," 2017. [PDF]
[21] A. Monga, D. Singh, H. L. de Moura, X. Zhang et al., "Emerging Trends in Magnetic Resonance Fingerprinting for Quantitative Biomedical Imaging Applications: A Review," 2024. ncbi.nlm.nih.gov
[22] S. R. Pellakuru, N. Nischal, H. Uldin, N. Jenko, A. Firake, "Role of Windowing Image Technique to Decipher Soft Tissue Pathologies," LabMed, 2025. mdpi.com
[23] G. Cloutier, F. Destrempes, F. Yu, and A. Tang, "Quantitative ultrasound imaging of soft biological tissues: a primer for radiologists and medical physicists," Insights into Imaging, 2021. springer.com
[24] G. Pinton, "Ultrasound imaging of the human body with three dimensional full-wave nonlinear acoustics. Part 1: simulations methods," 2020. [PDF]
[25] I. Cinelli, M. Destrade, M. Duffy, and P. McHugh, "Electrothermal equivalent three-dimensional Finite Element Model of a single neuron," 2020. [PDF]
[26] X. Li, "Thermal-mechanical response modelling and thermal damage prediction of soft tissues during thermal ablation," 2017. [PDF]
[27] S. Wang, J. Pan, X. Zhang, Y. Li, W. Liu, R. Lin, "Towards next-generation diagnostic pathology: AI-empowered label-free multiphoton microscopy," Light: Science & Applications, 2024. nature.com
[28] F. Gu and Q. Wu, "Quantitation of dynamic total-body PET imaging: recent developments and future perspectives," *Journal of Nuclear Medicine and Molecular Imaging*, vol. 2023, Springer. springer.com
[29] S. Hossain and S. Hossain, "Mathematical and computational modeling for the determination of optical parameters of breast cancer cell," Electromagnetic Biology and Medicine, 2021. [HTML]
[30] U. Achury Florián, "Computational model and implementation of an indirect system for the intraocular pressure measurement including the mechanical behavior of the cornea," 2021. uniandes.edu.co
[31] S. Börm, "Fast large-scale boundary element algorithms," 2020. [PDF]
[32] A. Ademiloye, "Meshfree and Particle Methods in Biomechanics: Prospects and Challenges," 2019. [PDF]
[33] Q. Shao, M. Lundgren, J. Lynch, M. Jiang, M. Mir, "Tumor therapeutic response monitored by telemetric temperature sensing, a preclinical study on immunotherapy and chemotherapy," *Scientific Reports*, vol. 13, no. 1, 2023. nature.com
[34] P. H. Kuo, A. Y. C. Chen, R. J. Rodriguez, C. Stuehm, et al., "Transcranial magnetic stimulation for the treatment of chemo brain," Sensors, vol. 2023. mdpi.com
[35] K. Shi, X. Peng, T. Xu, Z. Lin, M. Sun, Y. Li, and Q. Xian, "Precise Electromagnetic Modulation of the Cell Cycle and Its Applications in Cancer Therapy," *International Journal of …*, 2025. mdpi.com
[36] Y. Wang, "Soft tissue viscoelastic properties: measurements, models and interpretation," 2016. [PDF]
[37] R. A. Gray and P. Pathmanathan, "Patient-Specific Cardiovascular Computational Modeling: Diversity of Personalization and Challenges," 2018. ncbi.nlm.nih.gov
[38] R. Kamal, Diksha, P. Paul, and A. Awasthi, "NEXT-GEN Medicine: Designing Drugs to Fit Patient Profiles," Current ..., 2024. [HTML]
[39] L. Tinger, "Development of an integrated platform for personalized cancer treatment: diagnostic and therapeutic solutions based on biomarkers and nanotechnology," 2024. kpi.ua
[40] V. Singh, "Theranostics: integrated diagnostics and therapy using nanomedicine," in Innovations, Applications, and Breakthroughs in the ..., 2024, Springer. [HTML]
[41] M. A. Rocca, S. Ropele, À. Rovira, P. Sati, and A. T. Toosy, "Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis," *Brain*, vol. 2021. oup.com
[42] B. D. Weinberg, M. Kuruva, H. Shim, et al., "Clinical applications of magnetic resonance spectroscopy (MRS) in of brain tumors: from diagnosis to treatment," *Radiologic Clinics of North America*, vol. 59, no. 6, pp. 1191-1204, 2021. nih.gov
[43] K. S. Nayak and Y. Lim, "Real‐time magnetic resonance imaging," *Magnetic Resonance Imaging*, vol. 2022, Wiley Online Library. wiley.com
[44] A. E. Lottes, K. J. Cavanaugh, Y. Y. F. Chan, V. J. Devlin, et al., "Navigating the regulatory pathway for medical devices—a conversation with the FDA, clinicians, researchers, and industry experts," *Journal of ...*, vol. XX, no. Y, pp. Z-Z, 2022. springer.com
[45] W. Health Organization, "Health technology assessment of medical devices," 2025. google.com
[46] Q. Lu, Y. S. Hsueh, W. Tong, Y. Zhang, J. Xu, "Importance to understand medical device regulations for accelerating clinical translation," *Journal of Orthopaedic …*, 2025. sciencedirect.com
[47] X. Zhou, Y. Liu, M. Ali, and M. He, "A Multilevel-Multiphysics modeling and simulation approach for multichip electronics," Applied Thermal Engineering, 2025. [HTML]
[48] C. Tudu, S. Sharma, and D. Kumar, "Computational Modeling and Digital Twin Technologies in Medical Device Development," Biomedical Materials & Devices, 2025. [HTML]
[49] J. Shao, J. Feng, J. Li, S. Liang, and W. Li, "Novel tools for early diagnosis and precision treatment based on artificial intelligence," *Journal of Critical Care Medicine*, 2023. mednexus.org
[50] O. Elemento, C. Leslie, J. Lundin, and G. Tourassi, "Artificial intelligence in cancer research, diagnosis and therapy," Nature Reviews Cancer, 2021. osti.gov
[51] M. R. Hasan, A. A. Alsaiari, B. Z. Fakhurji, M. H. R. Molla, et al., "Application of mathematical modeling and computational tools in the modern drug design and development process," Molecules, vol. 27, no. 22, 2022. mdpi.com
[52] S. Sreeraman and M. P. Kannan, "Drug design and disease diagnosis: The potential of deep learning models in biology," *Current*, 2023. [HTML]
[53] M. Siebes and Y. Ventikos, "The Role of Biofluid Mechanics in the Assessment of Clinical and Pathological Observations: Sixth International Bio-Fluid Mechanics Symposium and Workshop, March 28–30, 2008 Pasadena, California," 2010. ncbi.nlm.nih.gov
[54] M. Alber, A. Buganza Tepole, W. Cannon, S. De et al., "Integrating Machine Learning and Multiscale Modeling: Perspectives, Challenges, and Opportunities in the Biological, Biomedical, and Behavioral Sciences," 2019. [PDF]
[55] A. Navacchia, "Multiscale Musculoskeletal Modeling of the Lower Limb to Perform Personalized Simulations of Movement," 2016. [PDF]
[56] D. I. Fotiadis, A. I. Sakellarios, and V. T. Potsika, "Multiscale Modelling in Biomedical Engineering," 2023. [HTML]
[57] C. Brosseau, "Physical Principles of Electro-Mechano-Biology: Multiphysics and Supramolecular Approaches," 2023. [HTML]
[58] S. Kamal Kandala, A. Sharma, S. Mirpour, E. Liapi et al., "Validation of a coupled electromagnetic and thermal model for estimating temperatures during magnetic nanoparticle hyperthermia," 2021. ncbi.nlm.nih.gov