How EEG data and machine learning can inform drug development

EEG data can bolster rare disease drug research and trials. An epilepsy drug trial, for instance, could ask patients to log the number of seizures they experience in a day. “If you look at a seizure diary, there might be 10 seizures a day. But if you look at EEG, there could be 150,” said Dr. Jacob Donoghue, a neurologist, neuroscientist and CEO of Beacon Biosignals.

EEG data can thus help improve the treatment of epilepsy by uncovering hidden patterns in patients’ brains. Such data also holds promise for testing experimental drugs for sleep disorders and neurodegenerative conditions such as Alzheimer’s disease, Donoghue said in a recent interview.

In the following Q&A, Donoghue explains how EEG data — paired with machine learning — can inform clinical trials and how such data can make the fields of neurology and neuroscience more objective.

The responses have been lightly edited.

Drug Discovery & Development (DDD):…

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