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The idea of personalised seizure prediction for epilepsy is closer to becoming a reality thanks to new research published today by the University of Melbourne and IBM Research-Australia.

The international classification system for epilepsy has been overhauled for the first time in nearly three decades, with some seizure types gaining formal recognition, far better information on causes, and greater recognition that epilepsy may be associated with other disorders. 

People with epilepsy acquired following brain trauma are the focus of a new $28 million global push for a long-awaited research breakthrough to develop treatments that for the first time could prevent or mitigate this disabling and potentially life-threatening condition.

 

An online contest in association with online platform Kaggle, the Mayo Clinic, University of Pennsylvania will let the globe’s keenest data scientists loose on the holy grail of epilepsy research — an algorithm that can predict seizures — using data from patients that has never before been available to researchers.

 

Patients suffering from cancer, neurological conditions and infectious diseases will benefit significantly from the most recent round of research funding from the Federal Government’s National Health and Medical Research Council (NHMRC).   

An international research team that includes the University of Melbourne’s Professor Sam Berkovic (AC) has identified a new gene for a progressive form of epilepsy.

Professors Sam Berkovic and Ingrid Scheffer have changed the way the world thinks about epilepsy.

Three University of Melbourne academics have been elected as fellows of the Australian Academy of Science in recognition of their role in advancing the sum of scientific knowledge.

The University of Melbourne Veterinary clinic is calling for dogs that have drug resistant epilepsy for a new treatment trial. 

GlaxoSmithKline has awarded Professor Ingrid Scheffer from the University of Melbourne, the Florey Institute, Austin Health and the Royal Children's Hospital, the 2013 Award for Research Excellence (ARE) for helping to transform the diagnosis of epilepsy.

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