Large-scale Auditory Brain Response Analysis for Hearing Diagnostics and Outcome-Driven Rehabilitation

The LABRADOR-HPC project aims to accelerate the development of next-generation brainwave-based hearing assessments by applying High-Performance Computing (HPC) to large-scale audio and electroencephalography (EEG) datasets. Extracting clinically relevant information from complex and noisy data such as EEG recordings requires computationally intensive optimisation, benchmarking, and validation processes that exceed the capabilities of conventional computing environments.

By leveraging HPC technologies, LABRADOR-HPC seeks to shorten the development cycle of new auditory biomarkers and improve their computational efficiency for real-time clinical applications. The project brings together the complementary expertise of the MedTech startup Brainphonics, the ExpORL research group at KU Leuven, and the Flemish Supercomputer Center (VSC), combining clinical, scientific, and computational know-how to advance hearing diagnostics and patient care.

Organisations involved: 

End-User: Brainphonics

Technology Expert: Vlaams Supercomputer Centrum (VSC)

Domain Expert: KU Leuven (research group ExpORL)