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Why age-related macular degeneration is a mathematically tractable disease

Ophthalmology, Mathematical Modeling, Applied Mathematics and seminar by Professor Christine Curcio, The University of Alabama at Birmingham Heersink School of Medicine

Hosted by Mathematical and Computational Ophthalmology

Monday 15:00–16:00 London (GMT+1)

Recording available

Online

Recording

1 h 9 min

Abstract

Among all prevalent diseases with a central neurodegeneration, AMD can be considered the most promising in terms of prevention and early intervention, due to several factors surrounding the neural geometry of the foveal singularity. • Steep gradients of cell density, deployed in a radially symmetric fashion, can be modeled with a difference of Gaussian curves. • These steep gradients give rise to huge, spatially aligned biologic effects, summarized as the Center of Cone Resilience, Surround of Rod Vulnerability. • Widely used clinical imaging technology provides cellular and subcellular level information. • Data are now available at all timelines: clinical, lifespan, evolutionary • Snapshots are available from tissues (histology, analytic chemistry, gene expression) • A viable biogenesis model exists for drusen, the largest population-level intraocular risk factor for progression. • The biogenesis model shares molecular commonality with atherosclerotic cardiovascular disease, for which there has been decades of public health success. • Animal and cell model systems are emerging to test these ideas.

Topics

biogenesis modelcell densitydifference of Gaussiandrusenfoveal singularityneurodegeneration

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