High energy spoiler! On July 11th, the content of speeches of big names in Beijing Health and Medical Big Data Innovation Forum (1)

July 11th 14:00

World Life Science Congress and

Healthcare Big Data Innovation Forum

will be held in Beijing

All the big names will bring

Professional and exciting content sharing

Big Health Pie will give you spoilers ahead of time!

Wang Xia

Tsinghua University Institute of Precision Medicine, Director of the Strategic Development Department of the Smart Medical Research Institute, Director of the Achievement Transformation Department, Secretary-General of the AI ​​Big Data Special Committee of the Tsinghua Alumni Association, and Vice-Chairman of the China Science and Technology Industrialization Promotion Association.

He has successively obtained a bachelor’s/master’s degree in computer science and application from the Department of Computer Science and Technology of Tsinghua University, and a Ph.D. in linguistics from the Chinese Academy of Social Sciences.

From 1999 to 2012, he worked in Nokia Research Institute for 13 years, successively served as R&D engineer, research manager, and chief researcher. Since 2002, he has successively worked as an Asian voice interface, Asian interactive solution, user experience in developing markets, mobile social experience, and long-tail solution. Program Manager.

From 2014 to 2019, he served as the assistant to the dean of the Institute of Data Science, Tsinghua University. In 2020, he served as the assistant to the dean of the Institute of Precision Medicine, Tsinghua University. , strategy development and achievement transformation. In her more than 20 years of career, Wang Xia has been working at the front line of technological innovation, and has devoted herself to the productization and industrialization of technology in the past ten years.

Content preview:Introduce the definition of smart medical care, the development status and trends of artificial intelligence, big data, Internet and other technologies in the field of health care in recent years, typical application cases, future development trends in the field of general health, and Tsinghua’s smart health care system and practice.

You Hui

Content preview:With the support of national policies and the growth of market demand, my country’s medical AI industry is showing a trend of rapid development, the market scale is constantly expanding, investment enthusiasm is constantly heating up, and innovation capabilities are constantly improving. The emergence of large-scale model technology has also had a profound impact on the industry. This time, we will share Zhujian’s application of AI technologies such as machine learning, deep learning, and large-scale models in the health care industry to promote technological innovation and application implementation, and accelerate the development of digital medical care. Intelligent development can improve the public’s awareness and trust in digital medical care, help pharmaceutical companies and hospitals improve service levels, reduce costs and increase efficiency.

Tang Fei

Content preview:Tang Fei will introduce a brief history of the development of big data technology and its main characteristics at the original forum; combine big data technology and cloud computing technology to derive a healthy cloud ecosystem; the basic components of an intelligent health management system (B/C terminal, hardware) and future development prospects.

Chu Liguo

Content preview:Lenovo Medical Brain uses artificial intelligence technology to deeply tap the endless potential of massive medical data, and is committed to providing medical professionals with full-process medical services, covering clinical diagnosis, drug research and development, health management, etc., so as to improve the quality of medical services and Efficiency, let science and technology better benefit human health.

Lenovo Medical’s mission is to reveal the mysteries of medical knowledge and laws through efficient integration of medical data, and the use of cutting-edge machine learning and deep learning algorithm models, and provide powerful solutions for accurate diagnosis of diseases, formulation of personalized treatment plans, and effective disease prevention. Strong support.

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