WE NEED TO CONTINUE TO DRIVE RESEARCH IN EPILEPSY
The AEP Platform will link people with epilepsy, clinicians, community hubs, research groups, institutions, startups, industry and medtech with one another.
The platform will drive major advances in decision support tools for epilepsy. The AEP dataset will provide a rich resource for addressing many other traditional science and mechanistic questions in epilepsy to progress epilepsy research worldwide.
Elements of the AEP dataset will be made accessible to the research community through a series of staged public data releases. This will provide the international research community with open access to highly curated, multimodal, large scale epilepsy cohort data. By ‘open sourcing’ the data in an ethically responsible way, the AEP platform will promote the greatest likelihood of breakthrough science that will transform the lives of people with epilepsy.
AEP introduces a scalable platform business model to connect research, clinical care and medtech for all Australians.


WE WILL UNLOCK THE ADVANCED TECHNOLOGIES TRAPPED IN RESEARCH
We have the answers but they are trapped in research. There is a 30 year translational gap between research and clinical care.
Integrated analysis of the three core AEP data modalities – imaging, genetics, cognition – gives a deep understanding of brain function in epilepsy.
Sophisticated informatics technologies will be used to curate large data sets.
Artificial Intelligence algorithms will reveal hidden patterns in these data sets, providing diagnostic information and outcomes prediction to optimise treatment pathways.
This model of health care is scalable and translatable across all brain diseases.

RECENT Publications arising from the Australian Epilepsy Project
The cost of epilepsy in Australia : A productivity-based analysis - Neurology 2020
Foster E, Chen Z, Zomer E, Rychkova M, Carney PW, O'Brien TJ, Liew D, Jackson G, Kwan P, Ademi Z
Teleneuropsychology in the time of COVID-19: the experience of the Australian Epilepsy Project - Seizure: European Journal of Epilepsy 2020
Tailby C, Collins AC, Vaughan D, Abbott DF, O’Shea M, Helmstaedter C, Jackson G.
Artificial intelligence for clinical decision support in neurology - Brain Communications 2020
Pedersen M, Verspoor K, Jenkinson M, Law M, Abbott DF, Jackson GD,