## 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.