Principal Investigator: Caroline König
Email: caroline.leonore.konig@upc.edu
Web: https://soco.upc.edu/
Brief Theme Description:
This project presents the challenge of integrating cutting-edge technologies—such as harmonization, Machine Learning (ML), and technological platforms—to provide personalized psychological treatment based on Metacognitive Training (MCT) for patients with psychosis.
The main objectives include identifying the characteristics of patients who respond to MCT by using a stratification strategy based on ML applied to multimodal retrospective databases. Additionally, the project aims to develop a prototype that leverages ML results to personalize MCT treatment. A prospective pilot clinical trial will be conducted as a proof of concept to validate this prototype for Personalized MCT (P-MCT). Throughout the project, the inclusion of the user’s perspective will ensure that the approach remains focused on patient needs and experiences.
Spanning five countries—Poland, Germany, France, Chile, and Spain—the project seeks to create an open platform for clinicians. This platform will enable predictions about patient responses to MCT and provide recommendations for P-MCT treatment, ultimately supporting clinicians in their decision-making processes and enhancing the quality of psychological care.
Available Infrastructures: Computational Cluster, RDLab.
Possible Secondments: Several possibilities in different European countries and Chile.
Keywords: Machine Learning; Psychiatry; Psychosis; Metacognitive Training.
