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.
Projectdetails
Introduction
The long-term vision of the 3D-BrAIn consortium is to revolutionize personalized precision medicine for central nervous system (CNS) disorders, by developing an innovative bio-digital twin model of the human brain that is personalized, precise, and predictive.
Technologies Involved
In this pathfinder project, we bring together three breakthrough technologies:
- A novel, highly reproducible human brain modelling technology using robust adherent iPSC-derived 3D cortical organoid cultures.
- A unique, state-of-the-art 3D multi-electrode array (MEA) technology for non-invasive high-resolution electrophysiological recordings.
- A novel approach to analyze and interpret the large quantities of functional data using tailored automated machine learning (ML)-based algorithms.
Overcoming Hurdles
With this breakthrough approach, we overcome significant hurdles that made it thus far impossible to create a truly representative and functional model of the CNS for personalized medicine, drug screening, and neurotoxicity testing.
The revolutionary 3D-BrAIn high-precision CNS platform will allow robust and accurate modelling of the CNS for a broad range of neuropsychiatric diseases. Ultimately, the 3D-BrAIn technology will be translatable to multiple other organ systems (cardiomyocytes, pancreatic islets, retina), to non-invasively obtain longitudinal 3D high-resolution electrophysiological recordings and effectively interpret them.
Project Development
In this project, a prototype of the 3D-BrAIn platform will be developed by:
- Growing functional 3D organoids that faithfully resemble the human cortex on 3D MEA micropillar electrodes, enabling continuous functional monitoring.
- Developing ML-based algorithms that can process and interpret the large spatiotemporal data sets.
Once all individual components are optimized and integrated, proof-of-concept will be obtained by validating the platform for two of the envisaged applications: CNS drug development and neurotoxicity screening.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.998.347 |
Totale projectbegroting | € 2.003.347 |
Tijdlijn
Startdatum | 1-4-2023 |
Einddatum | 31-3-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAMpenvoerder
- UNIVERSITA DEGLI STUDI DI GENOVA
- MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
- LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
- 3BRAIN AG
Land(en)
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