A Top 10 Finalist Team in the Qualcomm Tricorder X-Prize.
Aezon

Our Mission

Founded in 2012, Aezon is a diverse team of student undergraduates at the Johns Hopkins University that was selected as one of 10 finalists in the $10 million Qualcomm Tricorder X-Prize, a competition to built a medical system capable of diagnosing a user of 15 critical diseases and conditions. We draw on diverse talent in Biomedical Engineering, Computer Science, and the life sciences in order to create an innovative medical experience and point-of-care system. Over three years, our research and development was focused on DNA and protein detection methods, microscopy, epidemiological data collection, machine learning, ECG analysis, and user-integrative design.

Our System

The Aezon System integrates point of care lab testing, vitals monitoring, and machine learning to think like a doctor, and a scientist.

Symptoms to Disease

The Aezon app for iOS interacts with the patient and collects critical information about how the patient is feeling through symptoms and questionaires, guiding them through a diagnostic process.

Vitals Monitoring

We continuously monitor the patients's ECG, pulse oximetry, blood pressure, temperature, and respiration rate. Our cloud algorithms then analyze these signs for critical conditions such as Atrial Fibrillation and Sleep Apnea.

Machine Learning

Our system then predicts disease states from collected data using a naive bayes approach. We use a custom database of disease states built from a fusion of clinician feedback and the public scientific literature.

Our Team

Our team is composed of undergraduate students at Johns Hopkins University.

Tatiana Rypinski

Team Lead

Neil Rens

Integrative Engineering

Sihao Liu

Lead Mobile Developer

Ned Samson

Engineering

Alex Crits-Christoph

Cloud Operations

Ryan Walter

Engineering Design

Alex Kearns

Engineering

Stephanie Hao

Research Engineering

Akshay Srivatsan

Machine Learning

Willis Wang

Mobile Development

Benjamin Shapiro

Algorithm Development

Theophilus Moss

Engineering

Ivan Kuznetsov

Algorithm Development

Ravirasmi Jasti

Research Science

April Lo

Research Engineering

Alex Forrence

Machine Learning

Cyrus Zhou

Research Science

Henry Sanchez

Algorithm Development

Andrew Mao

Engineering

Krzysztof Sitko

Vitals Monitoring

George Chen

Vitals Monitoring

Justin Rubin

Vitals Monitoring

A huge thank you for everyone both in and outside of the Hopkins community who has contributed towards, funded, partnered with, and mentored our team throughout our journey. To contact members of Aezon and for all inquiries, contact us at jhuxprize @ gmail DOT com.