About TheraMuseRX
v2.1.0Last updated: January 12th, 2026
TheraMuse RX is a research-driven music therapy assistant designed by clinicians and machine learning engineers to accelerate personalised interventions for dementia, Down Syndrome, and ADHD populations. The system ingests rich intake assessments, maps them to generational nostalgia cues, and curates long-form content from YouTube with rigorous filtering. Reinforcement learning closes the loop, ensuring every interaction refines the catalogue.
Our Technology Framework
Hybrid Intelligence Stack
Blends deterministic therapy heuristics with Linear Thompson Sampling, capturing feedback to progressively personalise playlists.
Knowledge Graph
Enriched query pipelines surface culturally aligned performances, long-form recordings, and therapy-specific arrangements.
Clinical Observability
Full telemetry covering patient intake, feedback audit trails, and reinforcement learning counters for compliance reviews.
Clinical Capabilities
Patient Assessment
Comprehensive intake forms capturing demographics, Big Five personality traits, cultural preferences, and clinical history to build detailed therapeutic profiles.
Adaptive Algorithms
Machine learning models deployed through Next.js API routes, enabling real-time music recommendations and dynamic playlist optimization.
Data Management
Secure SQLite-based persistence layer for managing patient records, therapy sessions, and clinical analytics with HIPAA-compliant protocols.
Continuous Optimization
Interactive feedback system (like/skip/dislike) integrated with reinforcement learning to continually enhance therapy outcomes.