Revolutionary high-resolution human 3D brain organoid platform integrating AI-based analyticsbroad
3D-BrAIn · Horizon Europe grant · 2023-04-01–2028-03-31
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2022-PATHFINDEROPEN-01 · scheme HORIZON-EIC · topic HORIZON-EIC-2022-PATHFINDEROPEN-01-01. CORDIS record →
Objective
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.
Beneficiaries (4)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM | NL | coordinator | €1,133,750 | |
| UNIVERSITA DEGLI STUDI DI GENOVA | IT | participant | €467,097 | |
| LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN | DE | participant | €397,500 | |
| 3BRAIN AG | CH | associatedPartner | — | Yes |
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