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特邀演講者（只有英文版本）

Dr Wei GAO

Dr Wei GAO

Assistant Professor

California Institute of Technology

  • pichotta@caltech.edu
  • Wearable Devices, Biosensors, Flexible Electronics, Electrochemistry, Robotics, Soft Matter, Micro/Nanorobotics, Microfluidics, Personalized Medicine, Internet of Things, BioMEMS.

簡歷

 

Wei Gao is an Assistant Professor of Medical Engineering, Ronald and JoAnne Willens Scholar, and Heritage Medical Research Institute (HMRI) Investigator in Division of Engineering and Applied Science at the California Institute of Technology. He received his Ph.D. in Chemical Engineering at University of California, San Diego in 2014. In 2014–2017, he was a postdoctoral fellow in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is an Associate Editor of Science Advances. He is a recipient of IAMBE Early Career Award, NSF Career Award, Pittsburgh Conference Achievement Award, ONR Young Investigator Award, Sloan Research Fellowship, IEEE EMBS Early Career Achievement Award, IEEE Sensor Council Technical Achievement Award, 3M Non-Tenured Faculty Award, MIT Technology Review 35 Innovators Under 35, and ACS DIC Young Investigator Award. He is a World Economic Forum Young Scientist, a member of Global Young Academy, a Highly Cited Researcher (Web of Science), and a National Academy of Engineering USFOE alumnus. His research interests include wearable devices, biosensors, flexible electronics, micro/nanorobotics, and nanomedicine.

For more information about Gao’s research, visit www.gao.caltech.edu.

Skin-Interfaced Wearable Biosensors

 

Abstract

The rising research interest in personalized medicine promises to revolutionize traditional medical practices. This presents a tremendous opportunity for developing wearable devices toward predictive analytics and treatment. In this talk, I will introduce our efforts in developing fully-integrated skin-interfaced biosensors for non-invasive molecular analysis. Such wearable biosensors can continuously, selectively, and accurately measure a broad spectrum of sweat analytes including metabolites, electrolytes, hormones, drugs, and other small molecules. The clinical value of our wearable sensing platforms is evaluated through multiple human studies involving both healthy and patient populations toward physiological monitoring, nutritional monitoring, disease diagnosis, mental health assessment, and drug personalization. This talk will feature our recent works on self-powered battery-free electronic skins and mHealth-based biosensors for multiplexed COVID-19 diagnosis and management. These wearable and flexible devices could open the door to a wide range of personalized monitoring, diagnostic, and therapeutic applications.

 

 

 

 

 

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