Precision Psychiatry 2.0: Reimagining Frameworks, Tools & Clinical Pathways to Deliver Individualized Mental Health Care

  • Positioning EEG as a scalable, translational biomarker, integrating neural signals with clinical and biological data to improve patient stratification and development decision-making
  • Moving beyond symptom-based diagnoses by leveraging EEG-derived neurophysiological signatures to reduce heterogeneity and define biologically coherent subgroups
  • Translating EEG, digital phenotyping, and AI-enabled analytics from research tools into deployable assets across clinical trials, endpoints, and real-world settings
  • Aligning pharmacological and non-pharmacological interventions with EEG-informed neural biomarkers to guide target engagement, dose selection, and personalized treatment strategies