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Grant Award View - GA65873
Using artificial intelligence and novel technology to detect and monitor...
GA ID:
GA65873
Agency:
National Health and Medical Research Council (NHMRC)
Approval Date:
12-Nov-2019
Publish Date:
16-Dec-2019
Category:
Health and Medical Research
Grant Term:
1-Jan-2020 to 31-Dec-2022
Value (AUD):
$545,060.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
NHMRC 18/19 1.1 Health and Medical Research
Grant Program:
Ideas
Grant Activity:
Using artificial intelligence and novel technology to detect and monitor corneal disease
Purpose:
Keratoconus is a disease of the cornea, the front window of the eye, that affects vision and can cause blindness. It is diagnosed using images of the eye, but early disease is difficult to detect, and there is also no worldwide agreement on which signs best indicate that the disease is progressing. We will use a type of artificial intelligence called machine-learning together with an innovative new imaging machine to overcome these challenges and thereby improve both diagnosis and treatment.
GO ID:
GO Title:
Ideas Grants 2019
Internal Reference ID:
GNT1187763
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
Yes
Confidentiality Reason(s) - Contract:
Privacy Act 1988
Intellectual property
Intellectual property
Confidentiality - Outputs:
Yes
Confidentiality Reason(s) - Outputs:
Intellectual property
Grant Recipient Details
Recipient Name:
University of Melbourne
Recipient ABN:
84 002 705 224
Grant Recipient Location
Suburb:
Parkville
Town/City:
Parkville
Postcode:
3052
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
Country:
AUSTRALIA