Signals become context.
A continuous view connects changes over time that can be difficult to capture in a single appointment.
Personalized Insights for Neurological Care
Understand what happens between visits.
NeuroSense combines wearable, clinical, and patient-reported data to help patients and physicians better understand seizure risk and health patterns between appointments.
Under development · Designed to support, not replace, clinical decision-making
Prototype interfaceSynthetic data
Personal firstYour baseline, not a generic norm
Multiple layersOne integrated view
Represented the United States at the World Final in San Francisco
Personalized insights for neurological care
Our approach
Multiple layers. One personalized seizure risk picture.
Context becomes insight.
Patterns are interpreted relative to each patient’s baseline to create a clearer picture of seizure risk.
Physiologic signals
Clinical context
Daily context
Personalized patterns
Integrated seizure risk scorePersonalized to your baseline
Patient app
Personalized seizure risk insights, built around the patient.
The NeuroSense app connects continuous health signals with patient-reported and clinical context to help people with epilepsy recognize patterns between visits.Early access coming soon.
Our journey
From an idea worth solving to the world stage.
In 2026, NeuroSense was selected as one of three U.S. National Winners from more than 24,000 submissions and represented the United States alongside innovators from 40+ countries at the World Final in San Francisco.
Read the Red Bull finalist story
TechRound · 2026
HealthTech 44 Winner
Ranked #20 among the Top 44 HealthTech Startups.Read our feature24K+U.S. submissions
TOP 3U.S. National Winner
40+Countries at the World Final
Founders
Clinical insight meets real-world sensing.
NeuroSense sits at the intersection of clinical patient-centered insight and sensor-driven product engineering. The founding team covers both.
Co-founder · Clinical strategy
Hayoung Ahn
Physician-in-training and Harvard University neuroscience alumna, with research experience in epilepsy and neurology education. Her clinical training gave her firsthand insight into what neurology patients need between visits.
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Co-founder · Product Engineering
Xuelong Mu
Software engineer building real-time sensor and AI-powered interactive systems across immersive media, robotics, and automotive; Columbia University mechanical engineering alumnus.
Connect on LinkedInPartnerships
Advancing continuous neurological care together.
NeuroSense partners with epilepsy clinics, health systems, researchers, wearable platforms, and digital health teams working to improve how neurological conditions are monitored and managed outside the clinic.