Machine learning applied to baseline EEGs could reshape early detection pathways for pediatric genetic epilepsy and clinical evaluation.
Key Takeaways
- Team is taking their method out of the lab and into the clinic
- Earlier detection could lead to earlier treatment and less uncertainty for families
- Similar approaches could eventually be applied to other neurological conditions, including autism and ADHD