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Low Cost Smart Screening System For Sight Threatening Eye Disease: Diabetic Retinopathy
Funder
National Health and Medical Research Council
Funding Amount
$529,079.00
Summary
The aim of the project is to develop an automated disease grading and clinical decision support system for diabetic retinopathy (DR) to perform eye screening by primary care providers and nurses. The grading system will automatically extract DR pathology from a patient’s color fundus images by image processing, feature detection and machine learning algorithms. Based on the detected information, the system can classify the patient as non symptom or a specific disease level.
Harnessing Anticalin Technology As A Multi-targeted Treament Approach For Vision Loss
Funder
National Health and Medical Research Council
Funding Amount
$627,273.00
Summary
Diabetes is a leading cause of vision loss and blindness worldwide and is caused by two factors called VEGF and Ang2, which damage blood vessels. Current treatments only block VEGF and many patients do not respond and suffer irreversible damage to sight. We have used ground-breaking anticalin technology to make a new drug (PRS-AUS1) that blocks both VEGF and Ang2. Studies will be performed in animal models and move to patients where we expect improved outcomes compared to current treatments.
Validating A Prototype Laser System For Intraocular Surgery
Funder
National Health and Medical Research Council
Funding Amount
$495,551.00
Summary
Intraocular surgery is a vital tool for treating common sight threatening diseases such as proliferative diabetic retinopathy and retinal vein occlusion. We seek to develop a prototype laser system to replace currently used mechanical instruments. We have demonstrated that UV laser ablation can afford much greater precision. Laser parameters for the new system will be optimised based on our previous achievements. The new system will be tested in animal trials and clinically.