BIOS Health expands collaboration in Canada with $800K initiative on groundbreaking neural biomarker research

Summary: BIOS health is partnering with Canadian universities to develop an artificial intelligence closed-loop neuromodulation system for chronic cardiac conditions.

Source: BIOS Health

BIOS Health is proud to announce a groundbreaking CA$800,000 research partnership with Mila, McGill University and the Université de Montréal, to develop an AI-controlled closed-loop neuromodulation system for chronic cardiac conditions. This partnership expands BIOS’ involvement with Mila, a Montreal-based research institute in artificial intelligence. The BIOS team will be working closely with Dr. Blake Richards, Assistant Professor, School of Computer Science, McGill University and Dr. Guillaume Lajoie, Assistant Professor, Applied Mathematics, Université de Montréal in conducting this research.

Emil Hewage, CEO & Co-founder of BIOS said: “BIOS opened its first R&D office outside of Europe in Montreal 18 months ago to take advantage of the city’s talent and expertise in AI and deep learning, choosing to collaborate with the Mila AI hub. The announcement of this new research partnership speaks to the success of this collaboration so far, and will allow us to expand our Canadian operations going forward.

“The research we will be able to conduct means we can develop AI-enabled neural interface treatments that will prove life-changing for patients with chronic diseases. At a time when Covid-19 is highlighting the fragility of health for those with chronic diseases, we are proud to be launching new initiatives that have the potential to create vastly more powerful treatments and preventions, and therefore reduce the number of people at high risk in the long-term.”

BIOS’s mission is to transform healthcare by developing a full-stack neural interface platform that is optimised to decode and encode the signals from the brain to the body, to treat chronic health conditions. Its vision is that patients will have their chronic conditions managed via the nervous system directly by AI, giving personalised and accurate treatments through computer generated neural signals – replacing drugs and changing the lives of millions of people. This partnership will enable BIOS to make significant strides in realising its mission by using Machine Learning to link cardiac activity to neural data and identify the neural biomarkers of cardiac activity that are the building blocks of new treatments.

“In the past decade, direct neural interfacing has established itself as a viable complement, and many times a superior alternative to, traditional clinical interventions,” said Dr. Guillaume Lajoie, Assistant Professor, Applied Mathematics, Université de Montréal. “The next decade is likely to bring paradigm-shifting uses of this novel class of treatments, and BIOS is strategically poised to address the challenges that guard this progress. I am extremely excited to team up with the talented people at BIOS and leverage cutting edge AI techniques to lay the foundation for neural interfacing standards.”

“Neural interface technology represents a potentially game-changing approach to health care innovation,” said Dr. Blake Richards, Assistant Professor, School of Computer Science, McGill University. “However, the complexity of signals in the nervous system can make it difficult to engineer precision control systems. BIOS’ approach to machine learning algorithms for deciphering neural signals is the best hope we have for harnessing the full promise of neural interface tech, and we are very excited to be partnering with them to further this research.”

“MEDTEQ actively supports collaborative projects focusing on new technologies, and very frequently, artificial intelligence is at the forefront. By taking advantage of the expertise Montreal has to offer and by collaborating with Canadian partners, BIOS can transform the healthcare sector. We are proud to support them bringing this technology to life, as it can ultimately create new ways to treat patients with chronic-diseases” said Diane Côté, CEO of MEDTEQ.

This shows a brain
Its vision is that patients will have their chronic conditions managed via the nervous system directly by AI, giving personalised and accurate treatments through computer generated neural signals – replacing drugs and changing the lives of millions of people. Image is in the public domain.

This next stage of research will be funded by partners including MEDTEQ (the pan-Canadian Consortium for Industrial Research and Innovation in Medical Technology), MITACS, Healthy Brains, Healthy Lives and BIOS.

About BIOS Health

BIOS is developing a full-stack neural interface platform that uses AI to decode and encode the signals from the brain to the body, to treat chronic health conditions. There are three parts to our technology. Firstly, our implanted neural interface connects directly with the nerves to isolate the signals that travel between the brain and the body. Secondly, our AI decodes and encodes this neural information from hundreds of thousands of individual neurons, tens of thousands of times per second, and sends corrected signals back into the body. Lastly, using this neural code, we can build a whole digital healthcare treatment. For a person with a severe chronic condition, that means their condition will be managed via the nervous system directly by AI, giving personalised and accurate treatments, where the burden of pills and doctor visits become a second resort rather than a daily reality.

Co-founded by Cambridge University graduates Emil Hewage, a computational neuroscientist, and Oliver Armitage, a biomechanical engineer, BIOS is made up of a wide range of experts from neuroscience, machine learning, software engineering, applied biomaterials, biotechnology, and medicine. The combined experience of the BIOS team extends to over 300 peer-reviewed publications, 10+ First of kind medical devices and 6k+ clinical procedures.

About this neuroscience research article

Source:
BIOS Health
Media Contacts:
Gabriella Jeakins – BIOS Health
Image Source:
The image is in the public domain.

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