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Course Summary

Dr Zoya Hameed, Professor Mark Rosenfield & David Cartwright (13:59)

A look at two new technologies aimed at improving diabetic detection and management: the first could enhance current screening techniques, the second may help monitor existing conditions. In line with the increasing number of diagnoses, advances in the detection, monitoring and treatment of diabetes are developing quickly, with researchers increasingly looking to the eye for answers. David Cartwright talks first to Dr Zoya Hameed, ophthalmologist at Maidstone Hospital, about the clinical implications of crystalline lens autofluorescence as a method of screening for diabetes. Second, we hear from Professor Mark Rosenfield from the State University of New York College of Optometry, who discusses his research into the crossover use of digital devices and the visual demands they impose. David and Mark discuss the news that pharmaceutical company Novartis is to licence ‘smart lens’ technology to Google, which could aid the management of conditions such as diabetes, and they reflect on the future of this technology.


First published in DOCET OQ92 (2015).

    More information and references

    References:

    • Baca JT, et al. 2007. Tear glucose analysis for the noninvasive detection and monitoring of diabetes mellitus. Ocul Surf. 5 (4), 280 – 293.
    • Badugu R, et al. 2004. Ophthalmic glucose monitoring using disposable contact lenses—a review.  J Fluoresc. 14 (5), 617 – 633.
    • Cahn F, et al. 2014. Measurement of lens autofluorescence can distinguish subjects with diabetes from those without. J Diabetes Sci Technol.  8 (1), 43 – 49.
    • Harvey W. 2014. How primary care practitioners might screen for early diabetes. Optician. 28th July.
    • Stirban A. 2014. Measurement of lens autofluorescence for diabetes screening. J Diabetes Sci and Technol.  8 (1), 50 – 53.
    • Yao H, et al. 2011. A contact lens with embedded sensor for monitoring tear glucose level.  Biosens Bioelectron. 26 (7), 3290 – 3296.
      Audio track (~ 14 mins)Evaluation