SOURCE-LINKED INTELLIGENCE

Non-invasive detection of interictal epileptiform discharges (IEDs) in the mesial temporal lobe (MTL) during sleep

CORDIS · observation · Publication date unknown

et need is to automatically detect sleep IEDs non-invasively when they occur in deep regions such as the MTL, a task that was believed to be nearly impossible until now. We recently developed a novel machine learning-based tool to reliably detect a subset of MTL IEDs non-invasively with high precision. For the first time, IEDs originating in the MTL can be detected even when gold-standard visual inspection by clinical neurologists is impossible. We will first conduct research to optimize and validate IED detection in epilepsy patients, and in mild cognitive impairment (MCI) and AD patients. We will then work to commercialize the tool so that it can be widely used to improve diagnosis, prognosis, drug titration, and risk-stratification not only in epilepsy and dementia, but in diverse neurological conditions including TBI, ADHD, Autism, and psychiatric disorders. Together with the technology transfer office of TAU and with business partners already on board we will work to consolidate and extend the systems patent family and bring our detection tool to the market.

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR