Advancing glaucoma research with multiphysics continuum mechanics modelling: Opportunities and open challenges
Daniel Sebastia-Saez, Jinyuan Luo, Mengqi Qin, Tao Chen, Cynthia Yu-Wai-Man

TL;DR
This review highlights the potential of multiphysics continuum mechanics models to enhance understanding and treatment of glaucoma by simulating ocular fluid dynamics and physical phenomena, complementing data-driven approaches.
Contribution
It discusses the opportunities and challenges of applying physics-based continuum mechanics models to address key issues in glaucoma research and treatment.
Findings
Models have improved understanding of ocular fluid flow in glaucoma.
Multiphysics frameworks can address surgical device design and drug delivery.
Physics-based models complement AI in glaucoma research.
Abstract
This review examines the emerging role of mechanistic mathematical models based on continuum mechanics to address current challenges in glaucoma research. At present, the advent of Artificial Intelligence and data-based models have resulted in significant progress in drug candidate screening, target identification and delivery optimization for glaucoma treatment. Physics-based models on the other hand offer mechanistic insight by modelling fundamental physical knowledge. Mechanistic models, and specifically those based on continuum mechanics, have the potential to contribute to a better understanding of glaucoma through the description of intraocular fluid dynamics, mass and heat transfer and other basic physical phenomena. So far, these models have expanded our understanding of ocular fluid dynamics, including descriptions of fluid flow profiles within the anterior chamber of the eye…
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Taxonomy
TopicsGlaucoma and retinal disorders · Elasticity and Material Modeling · Spectroscopy Techniques in Biomedical and Chemical Research
