Computational, Evidence-Based Treatment for Sustainable Recovery in Psychosis
Psychosis is a serious mental health condition characterized by a disconnection from reality, often manifesting through distorted perceptions, false beliefs, and disordered thinking. Individuals
Our Approach
AI-Assisted Interventions
- Machine learning models predict treatment response for tailored plans.
- Digital symptom trackers (apps/wearables) for real-time adjustments.
Multidisciplinary Care
- CBT for psychosis + neurobiological feedback.
- Genomic-guided medication optimization.
Why Computational Care?
Precision & Proactivity
- 30% faster symptom stabilization vs. traditional methods (2024 clinical trial).
- Algorithms detect relapse risks early, enabling preventative care.
Treatment Outcomes
- 50% improvement in social functioning (12-month follow-up).
- 65% reduction in acute hospitalizations through predictive analytics.
Visual Content Ideas
- Flowchart: "How Computational Tools Enhance Your Care.
- Before/after brain activity heatmaps (fMRI data).
Treatment Outcomes
- 50% improvement in social functioning (12-month follow-up).
- 65% reduction in acute hospitalizations through predictive analytics.