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Revolutionizing diabetes management by combining in silico models and AI control for vagus neuroprostheses

Project description

Automated vagus nerve stimulation to control circulating blood glucose levels

The body’s cells use glucose to make energy. Diabetes is characterised by impaired regulation of circulating blood glucose levels which is difficult to treat effectively. An automated approach that adapts to patients’ changing conditions is urgently needed. Vagus nerve stimulation (VNS) may modulate glucose metabolism. However, because the vagus nerve innervates many internal organs, careful investigation of nerve-implant interaction and the circuits stimulated is required. The ERC-funded DiabetManager project aims to develop the first VNS neuroprosthesis for personalised regulation of glucose levels in diabetics. Work will include development of a vagus nerve in silico model, models-driven interface design, AI-based stimulation policies, animal experiments, and human trials.

Objective

Diabetes is a major world health problem, approaching epidemic proportions and causing long term health damages due to inappropriate blood glucose regulation. Pharmacological therapies are limited by numerous side effects (as renal insufficiency or heart failure) and dose management issues. Their efficacy is also hindered by often problematic, patients’ compliance. This results in an unmet need for automatized, closed-loop glucose metabolism regulation, adaptable to variable patients’ conditions. Vagus nerve (VN) is a major component of the autonomous nervous system innervating internal organs, and its electrical stimulation showed preliminary results in modulating glucose metabolism. However, underlying mechanisms remain unknown, posing a high-risk to its feasibility, and could lead to indiscriminate stimulation causing multiple side effects (compromising breathing or heart rate). Fine glucose regulation cannot be achieved without better understanding of nerve-implant interaction and circuits stimulated by VNS. I aim to fill present scientific gaps by developing the first VNS neuroprosthesis for personalized closed-loop-regulation of glucose levels in diabetics. This results in a significant challenge: defining stimulation policies able to selectively block or activate specific neural pathways, while counteracting metabolic shifts and implant-nerve alterations. To that aim I will exploit models-driven interface design and AI-based stimulation policies. Animal experiments will investigate the physiological responses to optimal policies, maximising glucose regulation while minimizing adverse events, inspecting both cervical and abdominal VNS. Optimal VNS will be validated in human trials achieving device assessment in patients. DiabetManager will shed light on the underlying mechanisms of VNS-mediated glucose metabolism control, while providing versatile VN in-silico model, unprecedent AI-architecture for its adaptive stimulation, and disruptive health treatment.

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Topic(s)

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

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(opens in new window) ERC-2023-COG

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Host institution

MEDIZINISCHE UNIVERSITAET WIEN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 999 201,00
Address
SPITALGASSE 23
1090 WIEN
Austria

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Region
Ostösterreich Wien Wien
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 999 201,00

Beneficiaries (2)

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