SubsidieMeesterstwiN-on-a-chip brAins for monitoring individual sleeP habits
NAP aims to revolutionize sleep research by developing personalized in vitro models to identify sleep disorders and early Parkinson's Disease signs, enhancing diagnostics and reducing healthcare costs.
Projectdetails
Introduction
Insufficient sleep is an under-reported epidemic, and sleep disturbances are common early signs of neurodegeneration. Clinical research is currently challenging the assumption that human sleep is a one-fits-all phenomenon: breaking new grounds into sleep research is needed.
Project Overview
NAP makes real the study of individual sleep pathophysiology through a new science-to-technology paradigm merging in vitro modelling, allometric scaling, signal processing, and micromanufacturing.
Targeted Breakthroughs
NAP targets five breakthroughs:
- The development of the first model enabling the accurate study of individual sleep.
- The realization of the cyborganoid, i.e., the next generation of biohybrid model of the human brain.
- The setup of an experimental procedure to mimic sleep in vitro, accounting for a person's lifestyle, metabolism, and genetic makeup.
- The exploitation of allometry to obtain meaningful information from in vitro to humans.
- The delivery of the first tool for Parkinson's Disease (PD) early diagnosis.
Proof of Principle
As a Proof of Principle, NAP will identify the effects of sleep deprivation and detect sleep-related signs of PD from a personalized perspective.
Long-term Vision
In the long term, NAP will move Europe to lead sleep research and innovation through its envisioned technology: a predictive medicine twin-on-a-chip allowing the public at large to be routinely screened for:
- Checking their sleep health.
- Being warned about the consequences of sleep loss.
- Predating PD and other neuropathies characterized by sleep anomalies.
This will be of benefit for science, society, and the economy.
Expected Outcomes
NAP Proof of Principle will deliver the first tool for accurately extrapolating biological parameters from in vitro to humans. The identification of individual sleep needs will allow the targeted detection of people suffering from sleep disorders, scaling back healthcare costs.
Sleep-related neurodegeneration biomarkers will have tremendous implications in pharmacological research and enterprise and in the healthcare sector.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 3.615.375 |
| Totale projectbegroting | € 3.615.375 |
Tijdlijn
| Startdatum | 1-3-2023 |
| Einddatum | 31-8-2026 |
| Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITA DI PISApenvoerder
- ALBERT-LUDWIGS-UNIVERSITAET FREIBURG
- ORGANOTHERAPEUTICS VGMBH
- UNIVERSITEIT VAN AMSTERDAM
- ATLAS NEUROENGINEERING BVBA
- SLEEPACTA S.R.L.
- SLOVENSKA TECHNICKA UNIVERZITA V BRATISLAVE
Land(en)
Vergelijkbare projecten binnen EIC Pathfinder
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Opto-Electronic Neural Connectoid Model Implemented for Neurodegenerative DiseaseThe project aims to develop a novel human brain-organoid model, called connectoids, to replace animal testing for Parkinson's disease, enhancing therapy monitoring and reducing societal burdens. | EIC Pathfinder | € 2.992.203 | 2022 | Details |
Revolutionary high-resolution human 3D brain organoid platform integrating AI-based analyticsThe 3D-BrAIn project aims to develop a personalized bio-digital twin of the human brain using advanced organoid cultures and machine learning to enhance precision medicine for CNS disorders. | EIC Pathfinder | € 1.998.347 | 2023 | Details |
Opto-Electronic Neural Connectoid Model Implemented for Neurodegenerative Disease
The project aims to develop a novel human brain-organoid model, called connectoids, to replace animal testing for Parkinson's disease, enhancing therapy monitoring and reducing societal burdens.
Revolutionary high-resolution human 3D brain organoid platform integrating AI-based analytics
The 3D-BrAIn project aims to develop a personalized bio-digital twin of the human brain using advanced organoid cultures and machine learning to enhance precision medicine for CNS disorders.
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Reliable Medical Grade Home-Based Test for Self-Use for people with Sleep DIsordersThe project aims to develop and clinically validate Smart Skin technology for home-based monitoring of sleep disorders, replacing costly PSG and facilitating commercialization in Europe. | EIC Accelerator | € 2.457.113 | 2023 | Details |
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Map and manipulate sleep oscillations to reveal their role in healthy cognitive development
This project aims to investigate the causal relationship between sleep architecture and cognitive development in young mammals using advanced neurobiological techniques to inform therapeutic strategies for developmental disorders.
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The project aims to refine the understanding of sleep onset dynamics through multimodal physiological recordings and neurofeedback, enabling control over sleep timing based on individual needs.
Reliable Medical Grade Home-Based Test for Self-Use for people with Sleep DIsorders
The project aims to develop and clinically validate Smart Skin technology for home-based monitoring of sleep disorders, replacing costly PSG and facilitating commercialization in Europe.
Project Nationaal slaap regisgter Beter slapen
Het Beter Slapen Platform ontwikkelt een mobiele app voor gepersonaliseerde slaapverbetering en big data-verzameling, ter ondersteuning van gebruikers en wetenschappelijk onderzoek in Nederland.
Sleeping While Awake: Sleep intrusions during wakefulness and their cognitive consequences
This project aims to investigate the physiological mechanisms of wake slow waves in the brain during fatigue, exploring their impact on cognitive performance and potential for modulation.