Machine learning could help the diagnosis of drug-resistant epilepsy News

A new study published in the scientific journal PLOS One has shown that a type of computer modelling called'machine learning' can pick up areas of damage in the brain which are associated with drug-resistant epilepsy. This means that people with drug-resistant epilepsy could be diagnosed much more quickly, enabling them more timely access to appropriate treatment. The authors of the study also suggest that this new technology could potentially be used to diagnose other conditions such as multiple sclerosis and dementia. A new smartphone app called myCareCentric Epilepsy has been successfully piloted at Poole Hospital to help those with epilepsy and medical staff to monitor the condition. The app works with an existing technology, the Microsoft wristband.