BNA™ employs advanced AI and machine learning algorithms to analyze EEG data at rest and during activity, benchmarking it against an extensive FDA cleared normative age matched database. This sophisticated analysis identifies deviations and patterns linked to cognitive functions and neurological conditions, facilitating more comprehensive and objective brain evaluations. By delivering in-depth insights into brain function, BNA™ empowers clinicians to make informed decisions and tailor treatment strategies effectively.
FIREFLY’s PROPRIETARY DATABASE
Brain Network Analytics (BNA™) was developed using a proprietary, standardized database of over 17,000 individuals. This extensive database encompasses scans from both healthy volunteers and patients representing 12 different cognitive disorders. This growing database gives Firefly a first-mover advantage in biomarker development and collaboration with CNS drug developers, reducing drug development risks and costs while supporting companion diagnostics.