Personalized LLM Assistant for PD Management

Designing a preference-aligned LLM assistant that contextualizes digital severity trends, medication states, and lifestyle factors to support continuous, individualized PD care.

• Generates structured clinical summaries grounded in digital biomarkers and user context
• Tracks severity in relation to medication timing, therapy engagement, and daily variability
• Employs prompt engineering, personalization via RLHF, and safety-aligned response routing
• Conducts simulated and real user studies to evaluate trust, clarity, grounding, and safety