001     1030124
005     20240819204203.0
024 7 _ |2 CORDIS
|a G:(EU-Grant)101137289
|d 101137289
024 7 _ |2 CORDIS
|a G:(EU-Call)HORIZON-HLTH-2023-TOOL-05
|d HORIZON-HLTH-2023-TOOL-05
024 7 _ |2 originalID
|a corda_____he::101137289
024 7 _ |2 doi
|a 10.3030/101137289
035 _ _ |a G:(EU-Grant)101137289
150 _ _ |a Virtual Brain Twin for personalised treatment of Psychiatric Disorders (VBT)
|y 2024-01-01 - 2027-12-31
371 _ _ |0 P:(DE-Juel1)165859
|a Diaz, Sandra
|s 20240101
|t 20271231
372 _ _ |a HORIZON-HLTH-2023-TOOL-05
|s 20240101
|t 20271231
450 _ _ |a VIRTUAL BRAIN TWIN
|w d
|y 2024-01-01 - 2027-12-31
510 1 _ |0 I:(DE-588b)5098525-5
|a European Union
|b CORDIS
680 _ _ |a In the EU, approximately 165 million individuals struggle with mental disorders, with projections suggesting they will become the foremost economic burden in medicine by 2030. Schizophrenia, which affects 1 % of the global population, is particularly daunting. Existing antipsychotics demonstrate limited efficacy for many patients. Factors ranging from genetic predispositions to social influences complicate treatment outcomes, leaving a significant portion of sufferers with inadequate care. In this context, the EU-funded VIRTUAL BRAIN TWIN project will leverage advanced neuronal simulation, AI tools, and clinical expertise. This ecosystem guides clinicians in exploring alternative treatments like brain stimulation. With a focus on individualised care, the Virtual Brain Twin platform integrates big data and high-performance computing within the secure EBRAINS infrastructure.
909 C O |o oai:juser.fz-juelich.de:1030124
|p authority:GRANT
|p authority
980 _ _ |a G
980 _ _ |a AUTHORITY
980 _ _ |a CORDIS


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21