InnoFest 2026 / 2025 Finalists / Lipid Llama
2025 Finalist
Lipid Llama
A multilingual, AI-powered app that turns complex lipid panels into simple, personal, and immediate heart-health guidance.
Tyler Smith
Project Lead and Developer
M3, Northwestern University Feinberg School of Medicine
Improving cardiovascular health starts with patients' understanding and addressing their modifiable risk factors, yet many struggle with medical jargon and lab results. Our mobile application simplifies complex lipid panels, a cornerstone of cardiovascular health, into personalized, easy-to-understand insights.
Users receive an immediate risk assessment in their language of choice, with clear explanations of their results, and actionable recommendations to improve their heart health. The multilingual AI-powered assistant enables engaging, real-time conversations to answer patient questions grounded in expert-backed, trustworthy health information that helps deepen understanding of their cardiovascular health.
"Understanding heart health should be simple, personal, and immediate. LipidLlama removes knowledge barriers to deliver real-time, multilingual insights tailored to all patients."
Tyler Smith, Project Lead
Tyler Smith
Project Lead and Developer
M3 · Northwestern FeinbergAmogh Karnik, MSAI, MD
General Cardiologist
Clinical ValidationJonathan Hourmozdi, MA, MSAI, MD
Advanced Heart Failure Fellow
Clinical ValidationJames D. Thomas, MD
Cardiologist
Clinical MentorAdrienne S. Kline, MD, PhD
Head of Engineering, BCVI Center for AI
Technical Mentor