Being one of the most common neurological disorder, epilepsy affects nearly one percent of the global population. While the majority of the patients respond well to pharmacological treatment, a significant proportion of epilepsy patients continue to suffer from chronic and unpredictable seizures. The consequence of these epileptic seizures include falls, injuries, fractures, insufficient blood flow to the brain, and in some cases even death. Rapid intervention is essential to minimize these risks. The significant advances in computational capacities and data processing power driven by Artificial Intelligence (AI) becomes a key intervener at this point. The application of these advances had made it easier to diagnose and offer customized treatment for epilepsy patients by improving the overall quality of care. Mainly AI and genomicsare being deployed to help those who suffer from epilepsy. Solutions that use AI include personalized medicine, seizure management, and drug discovery.
Predicting Seizures: There are epilepsy smartwatches that detect possible seizures movement electrical impulse in the skin and alerts caregivers and providers location GPS data using artificial intelligence technology. This can also store and analyze patterns during sleep and wakefulness to provide essential insights. Empatica's Embrace is such a device.
Drug Repositioning: Current medications used to treat seizures can be repurposed for anti-seizure treatment. Researchers use gene expression to store and analyze patterns during sleep and wakefulness to provide essential insights. This analysis can then be juxtaposed with the data repository that contains the patterns of gene expression with an identified result of drugs with promising anti-seizure capabilities.
Personalized Medicine: Genetic predisposition is a reason for epilepsy and doctors are unable to determine the exact cause in half of all the cases. Precision medicine can produce favorable results in certain types of epilepsy.
Pharmacogenetics and Pharmacoresistance: Genetic mutations may impact the efficacy of the antiepileptic medication. In the future, applying the pattern-recognition capabilities of AI and deep learning with big data from pharmacogenetics and antiepileptic pharmacoresistant can lead to more improved treatment for epilepsy patients.