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## Overview ### Goal Perform NMDA-R profiling employing a novel DCM in schizophrenic patients, and study its predictive power using generative embedding techniques. ### Significance Profiling NMAD-R on a longitudinal study with schizophrenic patients will significantly improve our knowledge of NMDA-R dysfunctions related to schizophrenia. The prediction of clinical trajectories using generative embedding might allow for personalised treatment of patients. ## Deliverables - D1: Estimation of NMDA-R parameters on clinical data. - D2: Assessment of the predictive power of generative embedding.
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