A pilot study on using machine learning to detect Young Onset Dementia and the Impact of an exercise program for people with Young Onset Dementia

This study aims to design a multimodal machine learning model capable of detecting Young Onset Dementia and identifying associated biomarkers.

The project also includes the development of an exercise program to meet the needs of participants living with Young Onset Dementia. Exercise Physiologist and PhD student Nic Lawlis is conducting the exercise study to assess its effects on motor function and the identified biomarkers.

This project is funded by a Dementia Australia Research Fund grant. The UC research team includes Maryam Ghahramani, Nathan D’Cunha, Raul Fernandez Rojas, Joe Northey.

For further information, reach out to Assoc Prof Nathan D’Cunha.