ML-based biomarker discovery from EEGs

CHALLENGE

Leverage resting state EEG data for neurological and psychiatric disorder detection, treatment response prediction, and disease prognosis despite their large and noisy nature.

SOLUTION

We developed an advanced tool for automatic EEG data ingestion, cleaning, and harmonization with clinical data. Trained machine-learning models for accurate prediction and classification. Expert biostatistician performed feature extraction for valuable insights.

RESULT

Successfully ingested and harmonized data from multiple clinics in record time. Presented impactful insights at a specialized conference, demonstrating ML-based biomarker discovery from EEG data.