Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG

Seer team members, Dean Freestone and Pip Karoly have published research outlining a web platform for developing seizure forecasting tools. Machine learning and cloud computing are unlocking new possibilities for developing individualised forecasts of seizure likelihood.

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Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study

Prof Mark J Cook, MD, Prof Terence J O'Brien, MD, Prof Samuel F Berkovic, MD, Michael Murphy, MD, Andrew Morokoff, PhD, Gavin Fabinyi, MBBS, Wendyl D'Souza, PhD, Raju Yerra, MBBS, John Archer, PhD, Lucas Litewka, BSc, Sean Hosking, RN, Paul Lightfoot, BSc, Vanessa Ruedebusch, BSME, W Douglas Sheffield, VMD, David Snyder, MSEE, Kent Leyde, MSEE, David Himes, BSEE