NeuroPace Improves iEEG Analysis with AlloyDB Omni
Mountain View-based NeuroPace, Inc. makes the FDA-approved RNS System responsive neurostimulator device for people with refractory focal onset epilepsy
Almost 5,000 patients have provided over 16 million iEEG files to date
Determining efficient stimulation patterns for the reduction of seizures is a primary research objective at NeuroPace
Physicians can swiftly identify similar patient profiles based on chosen iEEG files if large-scale iEEG data is searched for similar brain activity patterns
Using embedding models to turn iEEG data into vectors, the NeuroPace AI team and Google Cloud developers carried out a proof-of-concept study
The vector data was then stored in a vector database called AlloyDB for PostgresQL
Google Cloud handled almost 1.2 million iEEG files from 414 clinical trial participants in this proof-of-concept project