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| Funder | European Commission |
|---|---|
| Recipient Organization | Erasmus Universitair Medisch Centrum Rotterdam |
| Country | Netherlands |
| Start Date | Apr 01, 2023 |
| End Date | Mar 31, 2028 |
| Duration | 1,826 days |
| Number of Grantees | 4 |
| Roles | Participant; Associated Partner; Coordinator |
| Data Source | European Commission |
| Grant ID | 101098791 |
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.In this pathfinder project we bring together three breakthrough technologies: 1) a novel, highly reproducible human brain modellingtechnology using robust adherent iPSC-derived 3D cortical organoid cultures, 2) a unique, state-of-the-art 3D multi-electrode array(MEA) technology for non-invasive high-resolution electrophysiological recordings and 3) a novel approach to analyse and interpretthe large quantities of functional data using tailored automated machine learning (ML)-based algorithms.With this breakthrough approach we overcome significant hurdles that made it thus far impossible to create a truly representativeand functional model of the CNS for personalized medicine, drug screening and neurotoxicity testing.
The revolutionary 3D-BrAInhigh-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), tonon-invasively obtain longitudinal 3D high-resolution electrophysiological recordings and effectively interpret them.In this project a prototype of the 3D-BrAIn platform will be developed by growing functional 3D organoids that faithfully resemblethe human cortex on 3D MEA micropillar electrodes, enabling continuous functional monitoring and by developing ML-basedalgorithms that can process and interpret the large spatiotemporal data sets.
Once all individual components are optimized andintegrated, proof-of-concept will be obtained by validating the platform for two of the envisaged applications: CNS drugdevelopment and neurotoxicity screening.
Ludwig-Maximilians-Universitaet Muenchen; 3Brain Ag; Erasmus Universitair Medisch Centrum Rotterdam; Universita Degli Studi Di Genova
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