Predictive Genomics

Transfer Learning for Genome Analysis and Personalised Recommendation

Female doctor using tablet with abstract hologram of DNA, data and connections
ARC LINKAGE PROJECT

Transfer Learning for Genome Analysis and Personalised Recommendation 

 

Project Code: LP210100414

Project Aims

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.

Project Team

Project Objectives

Diagram of project objectives
Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.