NeuroGeMS: Multimodal AI Data Science Platform
KEDRI at AUT developed NeuroGeMS, a system for integrating and modelling multimodal data (eg, genomics, EEG and behavioural data). Supported by a $2.1M NZ–Singapore programme, it enables personalised prediction and diagnosis of mental health conditions. NeuroGeMS supports interpretable, flexible, and efficient AI modelling for improved early detection and intervention.
Project team
- Nikola Kasabov (AUT)
- Sugam Budhraja (AUT)
- Balkaran Singh (AUT)
- Edmund Lai (AUT)
- Zohreh Doborjeh (AUT)
- Margaret Hinepo Williams (AUT)
- Alex Sumich (Nottingham Trent University)
- Wilson Wen Bin Goh (Nanyang Technological University)
- Jimmy Lee (Institute of Mental Health, Singapore)
- Limsoon Wong (National University of Singapore)
