To access this element change to forms mode OFF
Grant Award View - GA66015
Automated methods for evaluating structural vascular disease
GA ID:
GA66015
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):
$467,980.00
(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:
Automated methods for evaluating structural vascular disease
Purpose:
The disease (atherosclerosis) that causes most heart attacks and strokes occurs decades before these events. We have developed a quick, easy and safe way to image a stable marker of advanced atherosclerosis using widely available machines. We now propose to use machine learning to automate AAC assessment offering a novel, feasible and scalable approach to screen older Australian populations for structural vascular disease.
GO ID:
GO Title:
Ideas Grants 2019
Internal Reference ID:
GNT1183570
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:
Edith Cowan University
Recipient ABN:
54 361 485 361
Grant Recipient Location
Suburb:
Joondalup
Town/City:
Joondalup
Postcode:
6027
State/Territory:
WA
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW, WA
Postcode:
Multiple
Country:
AUSTRALIA