The battle against COVID-19 is a worldwide challenge unlike any in living memory. The Georgia Tech community has joined the fight, contributing our expertise, innovation, and indomitable spirit to the effort. Even as we remain committed to serving our students, faculty, and staff, we have accelerated our advancement of technology in response to our world's new reality.

VitalEyes is a CREATE-X backed webapp that enables research labs to proactively social distance and regulate capacity by providing a drop-in scheduling system for researchers to dynamically adjust their lab usage. We also provide analytics to administrators, helping labs stay within guidelines and better self-regulate.

We’re MedLynk, an Award Winning* Georgia Tech Create-X group that has developed a predictive algorithm for manufacturers that have retooled to make PPE. Our solution can help focus the attention of PPE suppliers by predicting demand for PPE due to high COVID-19 cases, and lists the most vulnerable healthcare facilities in each county.

VERA uses AI and ML to support interactive modeling of the spread of COVID-19: https://news.gatech.edu/2020/04/21/interactive-tool-helps-people-see-why-staying-home-matters-during-pandemic

During the summer of 2020, researchers have been creating simulation games to explain social patterns of Covid-19 transmission. 

Biolocity is an incubator at Emory University and Georgia Tech focused on advancing life science technologies to the market.

Cleanliness at essential businesses, such as grocery stores, can be a key to preventing the transmission of Covid-19 either from direct or indirect contact.

Social distancing has been identified a way to help stop or slow the spread of Covid-19, but essential visits interrupt the implementation of social distancing. As a result, this project created a tool to enable intelligent, data-driven social distancing.

There are an estimated 1,300 pop-up Covid-19 testing facilities in the country, with the number continuing to grow to meet the needs of the area. While these testing centers allow more people to access vital tests, the rapid, un-standardized proliferation of Covid-19 testing centers has made it challenging for testing results to be communicated downstream to hospitals and doctors.

Researchers aim to produce a service that uses information present in a managed wireless network to support a rapid and digital form of digital contact tracing. Through computational modeling, researchers intend to provide recommendations based on data present in the wireless i