INBRAIN and Microsoft sign a collaboration on AI for precision neurology

INBRAIN Neuroelectronics/Graphene brain interface

INBRAIN Neuroelectronics partnered with Microsoft to use Azure AI, including time-series language models trained on signal data, to analyse real-time recordings from INBRAIN's graphene brain interface. The aim is to develop implants that adapt stimulation to each patient, starting with Parkinson's disease and epilepsy, with patient neural data kept encrypted and de-identified.

• Partnership with Microsoft to use Azure AI and time-series language models for analysing neural signals.
• Target adaptive neuromodulation for Parkinson's disease and epilepsy with patient-specific treatments.
• Patient neural data remains encrypted and de-identified throughout AI processing.