(Nasdaq: CBLL) (“Ceribell”), a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions, today announced that a new research ...

Epilepsy is one of the most common neurological diseases in the world, afflicting more than 50 million people. While most forms can be treated with therapeutics, patients with drug-resistant epilepsy ...

Please provide your email address to receive an email when new articles are posted on . The study analyzed 334 cases of point-of-care EEGs in the SAFER-EEG clinical trial. Overall, 79% of those with a ...

Epilepsy isn't always easy to diagnose. Seizures often don't occur during routine brain-wave recordings (EEGs), leaving ...

After developing a wearable device that can automatically detect seizures in people with epilepsy and immediately notify their caregivers, Empatica is planning to take the technology even further. The ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

Predictions for identifying 1-year seizure recurrence performed significantly better in electroencephalography (EEG) without interictal epileptiform discharges. An automated processing algorithm ...

Epilepsy isn't always easy to diagnose. Seizures often don't occur during routine brain-wave recordings (EEGs), leaving doctors without the direct observation they need to make a clear diagnosis.

Epilepsy is a neurological disorder that affects millions of people, regardless of age, but has yet to discover why it happens and how to effectively stop it. So far, most epilepsy patients manage ...

Algorithms developed using data from online seizure diaries were good at predicting seizures, according to Tobias Loddenkemper, MD, of Boston Children's Hospital, and colleagues. Note that these ...

A study reveals clinically relevant epileptic seizure prediction is possible in a wider range of patients than previously thought, thanks to the crowdsourcing of more than 10,000 algorithms worldwide.

Computer scientists and mathematicians have developed a prediction model that can warn epileptic sufferers of an upcoming seizure with 20 minutes notice. Computer scientists and mathematicians at the ...