Project Details

Project timelines

2026 - 2027

Active

Project leads

Professor Pubudu Pathirana


Research domain

Deakin Centre for Quality and Patient Safety Research

This project is developing an interactive, game‑based platform to help track and predict disease progression in children with Friedreich ataxia. By combining movement data with advanced artificial intelligence, the platform aims to provide reliable tools that can be used at home to support better clinical care and improve participation in clinical trial

The need

Monitoring disease progression in young children with Friedreich Ataxia is difficult because their motor control is still naturally developing, making it hard to tell the difference between disease-related changes and normal growth. Current clinic-based assessments are often not frequent or engaging enough for children, creating a critical need for reliable, child-friendly tools that can predict how the disease will progress for each individual. 

 

About

The AIMs_Play platform uses interactive screen-based and augmented reality (AR) games to measure balance, coordination, and speech while children play at home. The movement data collected from these games is processed through a Generative AI-enabled framework to accurately estimate disease severity and predict future progression, providing a more sensitive and real-world measure of the condition than traditional methods. 

Impact

Enable frequent monitoring

Allows for neurological tracking at home rather than just in clinics. 

Improve engagement

Provides children with fun, game-based tools that they enjoy using. 

Predict progression

Offers individualized models to help families and doctors prepare for future changes. 

Accelerate research

Supports more efficient clinical trials with sensitive, real-world data.

Project Leads

Professor Pubudu Pathirana
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Associate Professor Louise Corben
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