Most people haven't realized smartphones can be part of clinical workflow. For Sixuan Wu, a PhD student in computer science and researcher at TSRB, that assumption is exactly the problem. It is also the starting point for a project reimagining how blood analysis can be done.

In a typical smart home, intelligence comes at a cost. Cameras track movement. Sensors require batteries. Devices connect through fragmented systems that demand constant maintenance. TSRB researcher and PhD candidate Yibo Fu is exploring a different model. One where everyday objects quietly signal their use without electronics, cameras, or friction added to daily life.

In the middle of Tech Square at TSRB, a smartphone sits snug inside what looks like a slightly oversized case. A small cuvette of urine slides into place. The flashlight kicks on. A few seconds later, the screen displays something that a dipstick (or even a trained eye) simply cannot produce: a precise, quantitative number.

Artificial intelligence is increasingly stepping into the world of medicine. Large language models can summarize clinical notes, answer health questions, and assist physicians in diagnosing disease. In places where doctors are scarce and healthcare infrastructure is limited; these tools promise to expand access to care. But there is a problem hiding inside the data…

Deleon Technologies, a CREATE-X alumni company, is bringing daily metabolomics tracking of ten amino acids into homes by miniaturizing lab testing equipment and leveraging data-driven insights to provide athletes with personalized workout and recovery tips.

Peripheral Artery Disease (PAD) affects around 20 million people in the United States. The only way to definitively treat PAD is through surgery. However, monitoring one’s health after surgery is expensive, requiring patients to return to hospitals, and there is still a 12.5-20% incidence of secondary blockage post-surgery. CREATE-X startup, VasSense, has a solution. The startup’s wearable device allows for at-home monitoring for second incidences, making post-surgical care accessible.  

Vaping is now widespread, particularly among young adults, yet researchers lack reliable tools to quantify real-time nicotine intake. A new device developed at TSRB’s Uncommon Senses Lab estimates nicotine exposure by detecting the electromagnetic fields generated during each puff. The team calls it PuffEM.

“This isn’t a meetup, it’s a movement,” said Jeffrey Gray, Founder and CEO of AgeTech Connect, which is redefining the experience of aging through technology. On January 21, Gray welcomed 150 attendees to the AgeTech Connect 2026 Kickoff, held in partnership with RoboGeorgia at the Biltmore Innovation Center, and shared trends about where the AgeTech ecosystem is headed in 2026, and beyond!

The Georgia Tech SimTigrate Design Center is a collaborative hub for interdisciplinary researchers to simulate and test healthcare challenges, such as design for aging, design for infection control, primary care teamwork, and healthy communities.

Georgia Tech researcher’s “DopFone” uses a phone’s speaker and mic to track unborn babies’ heartbeats, promising more accessible prenatal care for all.

TSQ Tuesday is a weekly happy hour/networking event that turns casual conversations into real-world collaborations, connecting researchers, entrepreneurs, and technologists. For Weiyuan “Vera” Wang, a chance meeting at the event sparked a partnership that could transform how live-animal research is conducted, reducing stress for animals while improving data accuracy.

Can biosignals such as heart rate, breathing, and blood pressure be integrated into immersive virtual reality experiences? For researcher-turned-entrepreneur Yuchen Zhao, this vision is at the core of her work with her startup BioVR.

Imagine a doctor’s visit that never ends. An app on your phone and a wearable on your wrist monitor your health 24/7, alerting you to potential issues before you even feel sick. It sounds utopian: no surprise illnesses, faster diagnoses, maybe even AI-guided cures. However, as Georgia Tech researcher Catherine Wieczorek has found, today’s artificial intelligence health tools carry more than medical promise.

Many people with diabetes in the U.S. struggle to get specialized, continuous care, often navigating complex glucose patterns on their own. GlucoSense aims to change that with its new AI-powered GlucoSense Companion, translating real-time glucose data into personalized insights for better daily management.

On a North Georgia poultry farm, thousands of chickens are clucking and chirping under the noisy hum of fans. Amongst the chatter, a small device is quietly eavesdropping. “You can tell how chickens are doing just by how they sound,” says David Anderson, a Georgia Tech professor and TSRB researcher who has made a career of listening closely.