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Updated: Nov 25, 2025

Inducement and Evaluation of a Murine Model of Experimental Myopia
Published on: January 22, 2019
Myopia
Paul N Baird1, Seang-Mei Saw2,3,4, Carla Lanca2
1Department of Surgery in Ophthalmology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia. pbaird@unimelb.edu.au.
Abstract:
Myopia, also known as short-sightedness or near-sightedness, is a very common condition that typically starts in childhood. Severe forms of myopia (pathologic myopia) are associated with a risk of other associated ophthalmic problems. This disorder affects all populations and is reaching epidemic proportions in East Asia, although there are differences in prevalence between countries. Myopia is caused by both environmental and genetic risk factors. A range of myopia management and control strategies are available that can treat this condition, but it is clear that understanding the factors involved in delaying myopia onset and slowing its progression will be key to reducing the rapid rise in its global prevalence. To achieve this goal, improved data collection using wearable technology, in combination with collection and assessment of data on demographic, genetic and environmental risk factors and with artificial intelligence are needed. Improved public health strategies focusing on early detection or prevention combined with additional effective therapeutic interventions to limit myopia progression are also needed.
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