The spin-off INBRAIN Neuroelectronics has signed an agreement for the exploitation and development of three patents and an industrial secret, of which the Barcelona Institute of Microelectronics (IMB-CNM) of the CSIC, the Institut Català de Nanociència i Nanotecnologia (ICN2), the Catalan Institution for Research and Advanced Studies (ICREA) and the CIBER (CIBER-BBN area). The Autonomous University of Barcelona (UAB) and the August Pi i Sunyer Biomedical Research Institute (IDIBAPS) are also holders. This is a technology transfer success in a public-private collaboration with multiple research institutions.
The company will carry out the development and manufacture of these technologies within the Catalan Institute of Nanoscience and Nanotechnology (ICN2) and the White Room of Micro and Nanofabrication of the Institute of Microelectronics of Barcelona (IMB-CNM) of the CSIC.
INBRAIN Neuroelectronics was founded in 2019 by researchers from ICN2, IMB-CNM-CSIC, and ICREA, and is directed by Carolina Aguilar, from Medtronic. The company was born with the aim of decoding brain signals into medical solutions and developing smart neuroelectronic therapies based on graphene technologies initially developed by ICN2 and the University of Manchester.
"The agreement will allow INBRAIN to translate the technology based on graphene transistors into clinical practice, which has demonstrated unique capabilities in recording ultra-slow signals from the brain", explains Anton Guimerà, researcher at the IMB-CNM and co-founder of INBRAIN Neuroelectronics. These signals have key implications in diseases such as epilepsy and heart attack.
"We hope that this technology will help to better understand neurological diseases and, ultimately, to develop an advanced generation of neuroelectronic therapies with which to improve their treatment," explains Jose Antonio Garrido, ICREA professor at ICN2, co-founder of INBRAIN Neuroelectronics and the current scientific director.
Patented technologies include a device that limits current peaks in instruments for recording electrophysiological signals, a circuit for multiplexing and reading variable resistance sensors, and an array of flexible graphene transistor arrays for cortical mapping and data.
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