【CSCO 2022 Preview】Listen to Academician Shen Hongbing talk about how to use health and medical big data to conduct clinical medical research

Electronic medical records, wearable devices, electronic examination reports.
.
.
Health and medical informatization has been widely used in modern life, and health and medical big data has quietly appeared around
everyone.
With the rapid development of Internet technology and the continuous advancement of medical informatization, health and medical big data has gradually become an important resource for innovative health management and meeting the growing health needs of the people, and has become an important part of the country's comprehensive implementation of big data strategy

Health and medical big data covers the whole life cycle of people, including personal health, but also involves medical services, disease prevention and control, health security and food safety, health care and other aspects of data aggregation and aggregation, is an important national basic strategic resource, the use of health and medical big data, for the comprehensive implementation of the Healthy China strategy and improve the health and medical service model, improve the efficiency and quality of health care, to meet the people's health and medical needs has an important role
in promoting the situation.

The convergence of big data from multiple sources, driven by artificial intelligence, and finally converged to individualized precision diagnosis and treatment, so health and medical big data will greatly improve the ability to study the nature of life and conduct medical research, lead the future precision medicine prevention and treatment application, and effectively promote the development of the pharmaceutical industry and the medical device industry, such as new drug design, target discovery, effect evaluation, etc.
, will strongly promote the development of
the industry.
Therefore, health and medical big data can not only improve our research capabilities, but also apply it to clinical transformation to promote the development of
the pharmaceutical industry.

How should we rationally use health and medical big data to empower medical research? Academician Shen Hongbing will bring a conference report entitled "Clinical Medical Research in the Era of Big Data" at CSCO 2022, focusing on the topic of health and medical big data that everyone is generally concerned about
.

Academician Shen Hongbing has been engaged in tumor molecular epidemiology research for 30 years, and has carried out systematic and innovative research
on the discovery of lung cancer susceptibility genes and driver genes and prevention and treatment strategies for high-risk groups 。 At the germline genetic level, 21 Chinese lung cancer susceptibility genes were newly discovered, molecular genetic maps of Chinese lung cancer groups were established, and polygenetic risk scores (PRS) were created.
The key driver genes and molecular mechanisms of Chinese group of lung cancer were revealed for the first time at the somatic genome level.
It not only provides a new target for the study of the mechanism of lung cancer occurrence and development, but also successfully applies to the risk prediction of lung cancer, makes important contributions to tumor gene prediction and precise prevention, and promotes China's tumor molecular epidemiology discipline to rank among the international forefront
.
He has published more than 400 papers in Nat Genet, Nat Rev Cancer, Lancet Respir Med, etc.
14 national invention patents were authorized; As the first completer, he won the second prize of the National Natural Science Award, the Ho Leung Ho Lee Science and Technology Progress Award, the second prize of the National Teaching Achievement Award and many other awards
.

Resources:

https://mp.
weixin.
qq.
com/s/Xi-7vpqEwh-K6eMH0EUoPQ

https://mp.
weixin.
qq.
com/s/fCdluYEMaBsDVtL9PmJ-ig

https://mp.
weixin.
qq.
com/s/Gf6FuFfRwfjA819S-5TU1A

https://mp.
weixin.
qq.
com/s/qVEJKMkRtlRnVQgZTH1llQ

https://mp.
weixin.
qq.
com/s/ZtlpmuLzX-JAgKkc7sJfuw

https://mp.
weixin.
qq.
com/s/od51R61c1XL7hrwFZMB4cQ

https://mp.
weixin.
qq.
com/s/ufFP_mJxQ_bpp6jSpyI1eg