AI-powered brain-computer interface lets paralyzed ALS patient speak and work full-time
A UC Davis BrainGate study implanted a brain–computer interface in an ALS patient to decode brain signals into spoken language using BRAND, a machine-learning system. The patient, Casey Harrell, can control a computer and speak, enabling him to work full-time. In lab tests the system achieved 99% sentence accuracy; in daily life it’s 92%, with over 3,800 hours of use since 2023. The setup relies on existing hardware and home-care hookup, signaling a path toward practical, at-home BCI communication beyond the lab and toward broader commercialization.