News & Events


Wearable Sweat Sensor Detects Gout-Causing Compounds


In a new paper published in Nature Biotechnology, Wei Gao, Assistant Professor of Medical Engineering, describes a mass-producible wearable sensor that can monitor levels of metabolites and nutrients in a person's blood by analyzing their sweat. Gao's sweat sensor is more sensitive than current devices and can detect sweat compounds of much lower concentrations, in addition to being easier to manufacture. "Considering that abnormal circulating nutrients and metabolites are related to a number of health conditions, the information collected from such wearable sensors will be invaluable for both research and medical treatment," Gao says. [Caltech story] [Read the paper]

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Professor Wei Gao Receives IEEE Sensors Council Award


Professor Wei Gao, Assistant Professor of Medical Engineering has received the 2019 IEEE Sensors Council Award for his "pioneering work on wearable and flexible chemical sensors toward continuous and personalized health monitoring." [List of award recipients]

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Microrobots Activated by Laser Pulses Show Promise For Treating Tumors


MedE Professors Wei Gao and Lihong Wang are working on microrobots that can deliver drugs to specific spots inside the body while being monitored and controlled from outside the body. "These micromotors can penetrate the mucus of the digestive tract and stay there for a long time. This improves medicine delivery," Professor Gao says. "But because they're made of magnesium, they're biocompatible and biodegradable." [Caltech story]

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The Science of Sweat


Wei Gao, Assistant Professor of Medical Engineering, is interested in the future of personalized and precision medicine, and is engineering the next generation of wearable health monitors and nanomachines that could enable rapid and hyper-localized drug delivery and surgery. The sweatband health tracker he is developing is capable of studying health at a molecular level. By analyzing an individual’s sweat, the device can monitor dehydration levels as well as blood glucose levels in real time. [Caltech interview]

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