Using Pharmacogenetics To Personalize Treatment Outcome To Ranibizumab (Lucentis) For The Eye Disease Age-related Macular Degeneration (AMD)
Funder
National Health and Medical Research Council
Funding Amount
$623,891.00
Summary
The drug Lucentis has revolutionized the treatment of age-related macular degeneration, one of the commonest causes of severe vision loss in Australia. Unfortunately, up to 25% of patients continue to lose vision despite this treatment. We will use the latest gene chip technology to identify the genetic variant responsible for this poor response. Having this information will allow us to personalise treatment for the patient leading to improvement in their vision.
Predictors Of Treatment Outcomes Following Anti-vascular Endothelial Growth Factor (VEGF) Therapy For Neovascular AMD.
Funder
National Health and Medical Research Council
Funding Amount
$240,277.00
Summary
Age-related macular degeneration (AMD) is the most common cause of severe, irreversible loss of vision amongst elderly populations in the developed world. Bleeding in the retina destroys central vision. New treatments have been developed to stop this bleeding. However not all patients benefit equally, with some still losing vision. This project aims to investigate what determines how well an individual responds to treatment, in particular, how genes might influence the response.
Novel Morphological Retinal Vascular Features As Early Biomarkers Of Vision-threatening Eye Diseases.
Funder
National Health and Medical Research Council
Funding Amount
$107,169.00
Summary
Vision loss is not just a personal health burden, but a huge socio-economical burden. Management of major vision-threatening eye diseases such as diabetic retinopathy, age-related macular degeneration and glaucoma will be improved if we can successfully identified persons at risk of developing the disease before clinical presentation to benefit from preventive treatment. My research aims to contribute to the prediction of these blinding diseases using advanced computer imaging analysis for simpl ....Vision loss is not just a personal health burden, but a huge socio-economical burden. Management of major vision-threatening eye diseases such as diabetic retinopathy, age-related macular degeneration and glaucoma will be improved if we can successfully identified persons at risk of developing the disease before clinical presentation to benefit from preventive treatment. My research aims to contribute to the prediction of these blinding diseases using advanced computer imaging analysis for simple retinal photographs.Read moreRead less