Shulou(Shulou.com)06/02 Report--

How long has it been since you followed the news of the epidemic?

Apart from getting extremely stuffy with a mask and occasional news from overseas, I seldom take the initiative to click on COVID-19 's epidemic map, and a few months ago, I almost wanted to "live" in the epidemic news section. keep track of data updates.

With the zero clearance of high-risk areas in Beijing, second-time stressed health care workers, scientists, and every ordinary citizen, life is getting back on track. But everyone must know that the epidemic is like a boulder thrown into the lake of life, and the agitation and ripples continue.

For example, the sixth International big data Competition, which takes health care as a competition topic for the first time, is about to usher in the final. The competition has a "gorgeous lineup" from UNESCO IKCEST, China Engineering Science and Technology knowledge Center (CKCEST), Baidu, Xi'an Jiaotong University and other co-organizers.

At the same time, talents from top universities such as Harvard University, Columbia University, Imperial Institute of Technology, Tsinghua University, Peking University, Western Jiaotong University, and Harbin University of Technology will, under the guidance of a strong panel of AI judges composed of Turing Award winner Professor Reddy, Academician Zheng Nanning, and other industry scholars, try to use intelligent tools to predict the trend and speed of the spread of infectious diseases.

At the time of the birth of the 16 final teams, many of the "strongest brains" from the AI and medical circles also launched a wonderful peak dialogue to cheer for everyone.

Among them, Wang Chen, vice president of the Chinese Academy of Engineering, and Wang Haifeng, CTO of Baidu, must be no stranger. One was a pioneer of SARS 17 years ago, who took the lead in going out during the COVID-19 epidemic, the first initiator of "Fangdang Hospital", and the other was an internationally renowned artificial intelligence scholar and a leading figure in Chinese industry AI.

On the evening of July 20, when the two "great wizards" waved their technological "magic wands" to the public, they must have planted a prairie fire of the "AI+ industry" in the hearts of the contestants.

How does big data break the dimensional wall between AI magic and realistic medicine?

The combination of big data's technology and medicine is the first time in the six years of the international big data competition. How on earth can artificial intelligence and big data technology find the law of infectious diseases and help prevent and control the epidemic?

At the beginning of the dialogue, Wang Haifeng threw out this topic that worried hundreds of millions of Chinese.

If we say that the AI legion represented by Wang Haifeng holds the "magic wand" of Intelligence + big data, then the medical elites behind Academician Wang Chen hold modern medicine in their hands to pierce the cruel epidemic in reality.

Obviously, for the medical workers represented by Academician Wang Chen, big data's "magic" has become an indispensable raw material for medical research.

In his view, the spread of highly pathogenic transmission itself is a high-dimensional multiple equation. Because there are too many functions to be solved and more influencing factors, it is almost impossible for a few simple parameters to predict the development of the epidemic.

Academician Wang Chen said with emotion that during the epidemic, people always pay attention to when the "inflection point" will come, and scientists are also very embarrassed. After all, independent variables are not yet clear, social intervention and other dependent variables will affect each other, which increases the complexity of the calculation.

The severity of the early epidemic situation is different, the degree and intensity of social intervention are different, the interaction of various variables constitute a very numerous data, which directly leads to the anti-epidemic decision-making and results are also poles apart.

So in the dialogue, the double magic of big data + AI thrown by Wang Haifeng will have a chance to show the avatar.

In Wang Haifeng's view, big data, like infectious diseases, is not only intrinsically complex, but also in drastic dynamic changes. The talents who can grasp the laws of big data, use artificial intelligence algorithms to show their powers, and naturally have a great probability of mining the potential rules of diseases from all kinds of data.

It is not difficult to find that the combination of big data's technology and artificial intelligence is like a super computational buff for epidemic prediction, which clarifies the practical problems at the Mathematical Olympiad level in minutes, so that ordinary people can enjoy the fruits of technology.

AI+ Medical mixed doubles: how can smart technology help health care workers?

During the epidemic, it is also a natural story for the public, who are concerned about the front-line health care workers, to turn their attention to intelligent robots.

After all, robots to assist and replace them to complete some relatively routine work can greatly reduce the risk of health care workers.

During the dialogue, Academician Wang Chen and Wang Haifeng hit it off and completed a perfectly matched "men's doubles":

Academician Wang Chen: the problem of preventing infection is very serious. after the inspectors in the laboratory, the doctors and nurses working in the ward, and a whole set of protective clothing are put on, it will cause great difficulties to physical strength, contact with patients, medical operation, and so on. can intelligent robots replace some of the work?

Wang Haifeng: Baidu tried to use robots to help deliver food and medicine in the process of epidemic prevention and control. I believe this will be used more and more widely.

Academician Wang Chen: the proportion of busy robots in the ward is increasing, but the most important part is still done by people.

Wang Haifeng: on the one hand, robots reduce infection; on the other hand, they use AI technology for remote diagnosis and treatment, combined with algorithms to predict the secondary structure of virus RNA, and so on, all of which are helpful for epidemic prevention and control.

This is the end of a "mixed doubles" of the industry's strongest brain about the AI+ industry. In fact, the process of intelligent technology prosperity is growing in such day-to-day exploration and game, challenging one scientific peak after another, and eventually benefiting ordinary people like you and me.

What kind of sub-son do future talents with high gold content look like in the eyes of technical and medical experts?

When you see here, you may ask, if the collision between intelligent technology and infectious diseases is so useful, why does the integration of the two need the epidemic as a catalyst?

You might as well think about what medical scientists and engineers are up to today.

It is an exaggeration to say that the former yearns for the blessing of intelligent technology and wishes to join the "worship of AI", while the latter craves high-quality medical data and lurks to work as a nurse in a hospital.

Academician Wang Chen "complained" to Wang Haifeng that both computer software and hardware in China already had the conditions, but they had never been able to break the ice between the medical community, the information science community, and the relevant technicians of big data, so everyone still sang their own songs and said different words on different channels, but did not blend together, profoundly combining the real IT technology and big data's analytical skills with medical problems.

The core of this situation is the lack of compound talents who understand both medicine and information technology.

Who knows Wang Haifeng, who manages tens of millions of technical elites, is also deeply trapped and immediately speaks frankly about Baidu's talent problems when doing AI medical care.

For example, the auxiliary diagnosis and treatment system to help grass-roots doctors and help them to formulate diagnosis and treatment plans requires a team that knows both medicine and computers. So Baidu this team not only has a lot of computer engineers, but also recruited a lot of professional doctors to join, using cross-disciplinary talent cooperation model to do.

The cultivation of compound talents, the cooperation of cross-disciplinary talents, and so on, all point to a future-intelligent health care that benefits all people.

Academician Wang Chen gives an example. According to the thinking of Baidu AI Medical treatment, coupled with the big data foundation after the medical information integration of China's EMR (electronic medical record system), even if the epidemic persists or even aggravates in the future, the response state of the whole Chinese society will be very different. For example, do you want to increase the social distance? what are the ways to increase the social distance? Do you want to cut down on parties or wear masks? All these can be judged reasonably according to the results of big data's analysis.

The core goal of big data's competition is to dig out more talents from the collision between technology and industry. As Academician Wang Chen and Mr. Wang Haifeng said, medicine is esoteric and has a lot of data, and the students who soar in it are like the sons of Xinghe, with their hearts far away.

In my opinion, like Baidu, in thousands of industries and scenes, such technological bridges related to human well-being are still springing up one after another. This is perhaps the most memorable encounter between big data's technology and human society.

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