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Young scientist Wang Guangyu: a 'light chaser' in the frontier field of artificial intelligence
Young scientist Wang Guangyu: a 'light chaser' in the frontier field of artificial intelligence
Artificial intelligence (AI for short) is a hot topic in today's world. It is an interdisciplinary field covering computer science, mathematics, statistics, physics, psychology, philosophy and other disciplines. Its significance is to enable machines to Intelligent like a human being. In this field, there has always been a group of "light chasers" working silently. They embrace the technological wave without hesitation, actively explore and mine the core, and bring new opportunities to the development of artificial intelligence.
There is such a researcher at Beijing University of Posts and Telecommunications. Wang Guangyu, who became a doctoral supervisor at the age of 30, leads the team to explore new theoretical methods and key technologies for intelligent medical biocomputing step by step, chasing the light. She pursues the goal of applying artificial intelligence to complex real-world environments and solving important problems. ”
As an outstanding young scientist in the field of intelligent biomedical computing, Wang Guangyu proposed a new digital health model driven by information technology, which has made many technical advances in multi-modal intelligent semantic computing, secure circulation of data elements, and intelligent collaboration. Relevant work has published many high-level academic papers in international journals such as Nature and Cell, and has been empowered in digital health medical applications. It has achieved a series of results in "technological anti-epidemic" and "remote prevention and treatment of chronic diseases". The "New Artificial Intelligence-driven Dynamic Portrait of Major Diseases and Remote Efficient Prevention and Treatment System" developed by her technical team was selected as the "World's Leading Internet Scientific and Technological Achievements".
From the end of 2019 to the beginning of 2020, the COVID-19 epidemic struck. Faced with the tight supply of medical resources, quickly optimizing diagnostic paths and promoting intelligent emergency treatment models became a major challenge for scientific and technological workers. At that time, Wang Guangyu led the team to carry out an emergency scientific research project. At this critical moment in responding to the COVID-19 epidemic, we need to race against time, and information technology can accelerate the process of new medical discoveries. By quickly gathering information such as clinical images, diagnosis and treatment data, and continuous learning, artificial intelligence can assist clinicians in quickly classifying patients' conditions, screening out more critical patients, and giving medication recommendations to protect lives. "Wang Guangyu said.
After two to three months of non-stop work, we continued to update and iterate multi-modal medical big data such as images and medical texts from hospitals across the country. In the end, Wang Guangyu teamed up with a multidisciplinary team to quickly develop an intelligent screening, diagnosis and severe warning system for the entire diagnosis and treatment process. This system is of great significance for the quantitative evaluation of clinical treatment plans and intelligent screening of drugs.
What changes will the cross-collaboration of information and medicine bring to people’s lives? What can artificial intelligence do in the health field? In addition to "technological anti-epidemic", Wang Guangyu led her team to boldly explore in the field of "remote prevention and treatment of chronic diseases". Early screening of chronic diseases has always been a problem. Traditional medical treatment relies on examination methods. Wang Guangyu's research team has proposed a new method of individual survival analysis based on deep learning, which can achieve dynamic risk assessment and health management for major diseases. In the early detection stage of chronic diseases, the team relies on trusted privacy computing, non-invasive mobile information sensing, smart terminal access and real-time aggregation of big data, and uses the digitization of human body "phenotype" and behavioral information to establish a system for patients. Healthy dynamic portrait. "Diabetes, hypertension, etc. all have pathological changes in tiny blood vessels, and artificial intelligence is very good at observing these subtle characteristics. Through learning, it can find the early characteristics of these chronic diseases for us and provide evidence for early detection." In the treatment stage, This system can play a stronger role. Through deep reinforcement learning, it can avoid the disadvantages of non-individualized dosage in traditional medication. It can customize precise medication plans and dosages for each patient, realizing true precision medicine. "Our digital therapy has entered the clinical trial stage."
The achievements achieved in the past are just the past. Now, Wang Guangyu and his team are working towards advanced cognitive intelligence based on semantic space to realize human-centered multi-modal interactive AI doctors and provide trustworthy, explainable and safe services. Artificial intelligence can better benefit human life and health.
Text/Beijing Youth Daily reporter Wang Wei
Photography/Beijing Youth Daily reporter Liu Chang
Editor/Tan Weiping
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