Seminar 2026

Clinical trials succeed when patients can clearly articulate their experience, understand their disease, and engage as partners and yet rare disease populations often struggle to do exactly that. Patient-facing AI can strengthen these foundations, but few programs have shown how to deploy it responsibly at scale. This session presents a UCB case study on a conversational AI avatar built for the myasthenia gravis (MG) community. Attendees will learn: How a patient-facing AI avatar improves symptom articulation, visit readiness, and trial-relevant data capture in MG What guardrails keep the tool HIPAA-compliant and out of SaMD classification without losing clinical utility Where it is driving meaningful improvements in disease literacy, self-advocacy, and trial participation What practical steps are needed to deploy fit-for-purpose AI responsibly and scale across clinical programs