Artificial intelligence analysis of brain imaging in MS

Dr Minh-Son To

Flinders University

| Better treatments | Neurobiology | Incubator | 2021 | Investigator Led Research |


Magnetic resonance imaging (MRI) plays a central role in the clinical management of MS. The aim of this research is to develop artificial intelligence tools to analyse MRI scans, to assist clinicians and radiologists with decision making.

The main aspect of neuroimaging to be addressed is detecting lesion changes on images taken over an extended period, since the appearance of new lesions or evidence of new activity can influence choice of therapy. Once we have validated this on a retrospective dataset, we will develop a software interface for deploying this tool in a clinical environment. This will enable future prospective trials to take place.

Updated: 16 November, 2021

Stages of the research process

Fundamental laboratory

Laboratory research that investigates scientific theories behind the possible causes, disease progression, ways to diagnose and better treat MS.

Lab to clinic timeline: 10+ years

Research that builds on fundamental scientific research to develop new therapies, medical procedures or diagnostics and advances it closer to the clinic.

Lab to clinic timeline: 5+ years
Clinical Studies
and Clinical Trials

Clinical research is the culmination of fundamental and translational research turning those research discoveries into treatments and interventions for people with MS.

Lab to clinic timeline: 1-5 years


Grant Awarded

  • Incubator Grant

Total Funding

  • $15,000


  • 1 year

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Artificial intelligence analysis of brain imaging in MS