Project description
A new way to monitor neurodegenerative disease
Current implantable systems for individualised healthcare struggle to integrate ultrasensitive biosensing and efficient data processing. These limitations hinder real-time assessment of complex biomarkers essential for understanding and treating neurodegenerative diseases. With this in mind, the ERC-funded NEFELI project will use neuromorphic devices to integrate in-memory (bio)sensing and computing directly at the site of interest. This miniaturised, flexible, and biocompatible technology intelligently monitors and classifies electrical and chemical biomarkers in vivo, reducing power demands and enabling tailored interventions. Through a proof of concept biointerface, NEFELI sets the stage for next-generation biomedical systems, offering unprecedented insights into disease mechanisms and more precise therapeutic options.
Objective
Efficient assessment of multiple bio/chemical and electrophysiology biomarkers directly at the area of interest is an indisputable asset in the individualized healthcare. However, current implantable systems and bioelectronic technologies still face limitations in ultra-sensitive bio-sensing, address the electrical and chemical aspects fragmentally, and depend on complex setups and computationally heavy off-line processing. Conventional von Neumann architectures face limitations in efficiently handling the increasing sensor output data that can be mainly attributed to the physical separation between sensing, memory, and computing units.
Here the overall objective is to conceptualize a first-of-its-kind, miniaturized, and self-contained biosensing technology employing neuromorphic devices functioning as on-node sensors and processors (in-memory (bio)sensing and computing), in soft, flexible and bio-compatible materials and format. I will demonstrate this technology showcasing, in an in vivo animal model, a proof-of-concept implantable bio-interface that intelligently interrogates and classifies neurodegenerative disease-related bio/chemical and electrical biomarkers, coupled with active elements enabling precise adjustment of stimulation control parameters based on analog inputs. This technology holds great potential to advance our understanding and treatments of pathologies through multiplex electrical and chemical monitoring reducing the demands for power-intensive analog-to-digital conversion and computational processing. Furthermore, it paves the way for tailored interventions, laying the foundation for next-generation biomedical modulation systems.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyenvironmental biotechnologybiosensing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- medical and health sciencesbasic medicinepathology
You need to log in or register to use this function
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Topic(s)
Funding Scheme
HORIZON-ERC - HORIZON ERC GrantsHost institution
9000 Gent
Belgium