Skip to main navigation Skip to search Skip to main content

Digital Innovation in Schizophrenia Assessment: Integration of AI-Powered Language Analysis and Neural Biomarkers for Enhanced Psychiatric Diagnosis. A Multi-National Validation Study of Quantitative Diagnostic Tools in Poland, Latvia, and Portugal" DISA-LNT (Digital Innovation in Schizophrenia Assessment - Language Neural Technology)

Project Details

Description

This innovative healthcare technology project integrates AI-powered language analysis with neural biomarkers to create a comprehensive schizophrenia assessment tool. The collaboration between Psychomeasure and BrainTrip, supported by leading institutions in Poland, Latvia, and Portugal, focuses on developing a digital solution that combines EEG analysis with advanced language processing. The project aims to address current challenges in mental health diagnosis through objective, quantitative assessment methods. Through nine carefully structured work packages, the initiative covers everything from technical development and clinical validation to ethical compliance and commercial implementation. Key features include real-time analysis capabilities, multi-language support, and integration with existing clinical workflows. The project's potential impact extends beyond immediate clinical applications to influence future healthcare delivery models, drug discovery, and personalized medicine approaches.
AcronymDISA-LNT
StatusActive
Effective start/end date2/01/261/01/29

Collaborative partners

  • Rīga Stradiņš University
  • Psycomeasure Ltd (lead)
  • Institute of Psychiatry and Neurology, Warszawa
  • Fernando Pessoa Foundation, School of Medicine
  • BrainTrip Limited

Keywords

  • Psychiatry
  • Schizophrenia
  • quantitative
  • natural language processing (NLP)
  • EEG
  • diagnosis
  • monitoring

Field of Science

  • 3.3 Health sciences

Smart Specialization Area

  • Biomedicine, medical technologies and biotechnology

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.