INBRAIN Neuroelectronics is making progress in the field of neurotechnology, announcing the successful installation and procedure of the first graphene-based brain chip, integrating a brain-computer interface (BCI) into a human.
The first graphene-based brain chip
This innovation was applied to a patient undergoing resection of a brain tumor at Salford Royal Hospital, United Kingdom, with favorable and encouraging results, after achieving differentiation of healthy and cancerous tissues on a micrometric scale.
This procedure was funded by the European Commission’s Graphene Flagship project , and supported scientifically by the University of Manchester . Neurosurgeon Dr David Coope and Professor Kostas Kostarelos, co-founder of INBRAIN, supervised the study, demonstrating the safety and efficacy of graphene as a reliable material for future neurological interventions.
The use of graphene allows for unprecedented signal resolution, surpassing traditional resources in the transmission of neural signals. In addition, its resistance and flexibility make it possible to detect and stimulate areas of the brain with great precision, which translates into higher success rates in preserving vital functions such as language and movement.
According to Carolina Aguilar, CEO of INBRAIN, this breakthrough opens up new opportunities for BCI technology in neural decoding and as a therapeutic tool in disorders such as Parkinson’s and epilepsy . INBRAIN’s BCI-Tx platform, powered by artificial intelligence, is emerging as an essential resource in the personalized treatment of neurological diseases.
Demonstration of the application of the BCI technology chip. Source: Inbrain
Collaboration with institutions such as the University of Manchester and the support of the Northern Care Alliance highlight the importance of these strategic alliances in transforming precision neurosurgery. This is just the first step towards a future where adaptive neuroelectronic therapies will play an essential role in preventative medicine.
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Source: Interesting Engineering
Photo: Inbrain Neuroelectronics
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