Machine learning to identify predictors of depression and structural brain changes’

University of South Australia 2021

Researchers: Professor Elina Hyppönen, Dr Anwar Mulugeta, Dr Amanda Lumsden, Associate Professor Mark McDonnell

This project will aim, through use of artificial intelligence – namely a novel data-driven machine learning (ML) approach – to identify new predictors for depression and an unprecedented opportunity to discover novel risk factors for depression, clarifying how depression risk is also reflected in structural changes in the brain.

Acknowledgement of Country

Breakthrough acknowledges the Aboriginal and Torres Strait Islander peoples as the first inhabitants of this nation and the traditional custodians of the lands where we live, learn and work. We recognise all Australian communities who, through their lived experience, help to guide the research funded by Breakthrough.

Acknowledgement of Lived Experience

Breakthrough acknowledges those with lived experiences of mental illness. Every person’s story is uniquely theirs with their own challenges and triumphs, hopes and dreams; but together, we all share the same desire to live a life of connection, belonging and freedom. We are grateful to those who are willing to share their stories, and for the opportunities to listen.