探索智能生物传感的奥秘——数字化和未来世界
张学记 教授
美国医学与生物工程院院士，俄罗斯工程院外籍院士
深圳大学
时间：2024年9月3日（星期二）10:00
地点：思明校区同安二106会议室
厦门大学谱学分析与仪器教育部重点实验室
2024年9月2日
报告人简介：
Dr. Xueji Zhang is Vice President and Vice Chairman of University Council, Shenzhen University and Distinguished Professor at the School of Biomedical Engineering, China. He received his BSc and PhD from Wuhan University in 1989 and 1994 respectively. His postdoctoral work was completed at the National Institute of Chemistry, Slovenia, the Swiss Federal Institute of Technology, Zurich and New Mexico State University, Last Cruces, USA, from 1995-1999. He was a research scientist, a senior scientist, a chief scientist, Vice President and Senior Vice President at World Precision Instruments, Inc., USA, Adjunct Professor at University of South Florida until 2010, when he joined the University of Science & Technology Beijing as National Chair Professor. His research interests span the disciplines of chemistry, biology, materials and medicine, with an emphasis on studies of biosensing, biomedicine and biomaterials. His lab focuses on the development of novel biosensors, artificial intelligence sensors, wearable sensors and tools and devices to study free radicals, cancer biomarkers, profiling changes in animals or humans associated with diseases, and exploiting this information for the development of diagnostic and therapeutic approaches. In addition, his group investigates drug delivery, new energy and natural medicines. He serves as Editor-in-Chief of Sensors & Diagnostics and has been an editorial member of 24 international journals. He has received numerous national and international awards and honors including Member of the Russian Academy of Engineering; Fellow of the American Institute for Medical & Bioengineering; Fellow of the Royal Chemical Society, Member of European Academy of Sciences; a National Innovation Award in China; Scientist of the Year in China, Outstanding Engineer of China, Outstanding Award of Sensors, and Simon Fellow of ICSC-World Lab.
The impact of his work is documented in over 200 granted patents, about 800 peer-reviewed journal papers with >43,000 citations, 8 books, and over 200 keynote/invited lectures and seminars at national and international conferences and institutions. His work is also closely tied to industry and government, for which he has licensed over 30 biosensing technologies and affected some government regulations.
报告摘要：
Artificial intelligence (AI) and wearable sensors are crucial in achieving the goal of precision medicine, which is to customize the best treatment for each individual patient. The recent combination of these two fields is improving patient data acquisition and the design of wearable sensors for monitoring health, fitness, and surroundings. Intelligent wearable sensors aim to address the limitations of centralized and reactive healthcare by providing individuals with insight into their own physiology. However, the relationship between disease and therapeutic platforms is very complex, making it difficult to analyze their output. Integrating AI can bridge this gap by using pattern analysis and classification algorithms to improve diagnostic and therapeutic accuracy. The future of AI-biosensors (AI wearable sweat biosensors, AI ingestible biosensors, AI glass biosensors, AI implantable biosensors, etc.) will mainly focus on AI diagnosis (where the diagnostic algorithm in the microprocessor can verify the sensor output and present diagnostic information), big data processing (using self-contained space for historical data and various necessary parameters of data storage, significantly improving the controller’s performance), and self-learning/adaptation (embedded microprocessors with advanced programming functions, allowing the AI-biosensor to reconstruct the structure and parameters according to certain behavioral criteria and have adaptive functions).