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Grant Award View - GA214500
Transfer Learning for Genome Analysis and Personalised Recommendation
GA ID:
GA214500
Agency:
Australian Research Council
Approval Date:
14-Jan-2022
Publish Date:
20-Jan-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
14-Jan-2022 to 30-Jun-2024
Value (AUD):
$698,782.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 21/22 Linkage
Grant Program:
Linkage Projects
Grant Activity:
Transfer Learning for Genome Analysis and Personalised Recommendation
Purpose:
This project aims to improve the accuracy, adaptability, and comprehensiveness of health characteristic predictions and provide personalised recommendations for healthcare service and disease prevention. The deliverables include uncertainty learning and multi-source transfer learning methodologies for predictions based on genome analysis that distils and transfers useful knowledge from multiple sources into an Australian genome analysis model. A federated cross-domain recommender system will be developed to profile individuals and generate personalised recommendations. The outcomes are expected to create a paradigm shift in learning-based prediction and personalised recommendations to support healthcare services in complex environments.
GO ID:
GO Title:
Linkage Projects for funding applied for in 2021
Internal Reference ID:
LP21 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
University of Technology Sydney
Recipient ABN:
77 257 686 961
Grant Recipient Location
Suburb:
ULTIMO
Town/City:
ULTIMO
Postcode:
2007
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2007
Country:
AUSTRALIA