活动

讲座 | 用于个性化医疗的可穿戴汗液生物传感器

发布时间:2023-11-15

学术讲座:Wearable Sweat Biosensors for Personalized Medicine

主讲人:Minqiang Wang, Postdoctoral Fellow in Medical Engineering, California Institute of Technology, Pasadena, CA, U.S.

时间:9:00 - 10:00, November 15, 2023 (Beijing Time)

地点:Online


讲座摘要:

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 wearable biosensors for non-invasive molecular analysis. Such wearables can autonomously access body fluids (e.g., human sweat) across the activities and continuously measure a broad spectrum of analytes including metabolites, nutrients, hormones, and drugs. Laser engraving and inkjet printing are used to manufacture high-performance nanomaterials-based biosensors at large scale and low cost. The clinical value of our wearable systems is evaluated through various human trials toward precision nutrition, stress/mental health assessment, chronic disease management, and drug personalization. These wearable technologies could open the door to a wide range of personalized monitoring, diagnostic, and therapeutic applications.


主讲人简介:

Dr. Minqiang Wang is currently a postdoctoral scholar at California Institute of Technology, under the supervision of Dr. Wei Gao. His research is interdisciplinary and focused on developing new types of versatile energy materials and bioelectronic wearable systems that could be used for fundamental and applied biomedical studies. His research interests include Nano-materials, Wearable devices, Biosensors, Bioelectronics, Analytical electrochemistry, Nanotechnology, Microfluidics, Personalized medicine, Electrocatalysis. 

Dr. Minqiang Wang has published 19 scientific papers in journals such as Nat. Biomed. Eng., Nat. Nanotech., Adv. Mater., Trends Chem., Angew. Chem. Int. Ed. as the first author or corresponding author. A total of citations is over 4300, and h-index is 33. He won the first-tier prize of Baxter Young Investigator (one out of six around the world), and participated in several grants, including the US NIH, NSF, ACS projects with a total amount of more than 3 million US dollars.