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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.

Cardiovascular health AI assistant Health literacy
Tyler Smith, project lead of Lipid Llama

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 Feinberg

Amogh Karnik, MSAI, MD

General Cardiologist

Clinical Validation

Jonathan Hourmozdi, MA, MSAI, MD

Advanced Heart Failure Fellow

Clinical Validation

James D. Thomas, MD

Cardiologist

Clinical Mentor

Adrienne S. Kline, MD, PhD

Head of Engineering, BCVI Center for AI

Technical Mentor

InnoFest 2026

Your innovation could be the next one on this stage.

Applications for InnoFest 2026 are open to medical and pre-medical students nationwide. Submit your innovation, advance through multiple rounds, and pitch live in December.

Questions? Contact Jyoti Pun Mehta at jyotipmehta2025@gmail.com. Confirm AMSA-issued contact