Reduce the doctor's 50% consultation time, the medical think tank receives millions of angel rounds of financing

The medical think tank completed millions of angel rounds of financing in July 2017. According to Ren Siyuan, the founder of the medical think tank, the financing was for personal financing. The employer worked at the Barclays Investment Bank in the UK. This round of funds is mainly used for product research and development.

In 2011-2016, Internet medical care has gone through the barbaric growth period of emerging industries. After five years of ups and downs and adjustments, the industry has gradually entered a stage of rational development. In the future, Internet medical care will continue to expand under the four driving forces of policy, technology, environment and capital. According to the network data, as of November 31, 2017, in the medical and health field in China, the number of accumulated financing in the primary market was 402, and the financing scale reached 37.7 billion yuan. Its investment scale is second only to the TMT field.

MedPPPTM is an intelligent robot in the pharmaceutical industry. The current platform mainly provides three services: case information analysis, medical fact analysis and medical professional machine translation. Through expert intelligence learning, cloud computing and big data integration, learning experts Experience and fully exploit biomedical data to help doctors, patients and researchers better cope, control and understand diseases and the relationship between drugs and diseases.

Ren Siyuan, the founder of the medical think tank, introduced to the Hunting Cloud Network that the current doctor resources are relatively scarce. Compared with the United States, the per capita medical resources are seriously insufficient, and artificial intelligence assistance can assist doctors through pre-examination, intelligent diagnosis, case analysis, etc. 50% of the doctor's consultation time relieves the shortage of doctor resources. In addition, the medical fact big data engine can help medical researchers to obtain more useful information and information that cannot be obtained by ordinary search methods through machine hypothesis reasoning. .

Ren Siyuan introduced to Hunting.com that the profit model of medical think tanks is mainly two. The first is to provide free medical consultation to the public, and provide professional fee-based versions for professionals. The main paying customers include hospitals, pharmaceutical companies, insurance companies and research institutions. The second is the advertising revenue of the relevant website homepage after the public free version has a certain amount of traffic.

At present, the medical think tank has cooperated with the Chinese Academy of Sciences and a number of top three hospitals. Ren Siyuan said that the domestic Internet medical development is relatively mature, breaking the geographical and time constraints of traditional medicine, but smart medical care is still in its infancy, and smart medical care will bring more subversive changes to the entire medical industry . Need to overcome the constraints of ideas and habits.

Ren Siyuan believes that the current level of personalized medicine is low. For example, the same symptom may be completely different in different people, and the treatment methods required are completely different. Some must use genetic testing to distinguish them, which may involve Hundreds of indicators must rely on machines to analyze. It can be said that the future of smart medical care will be a revolution in the medical industry.

Speaking of the recent plan, Ren Siyuan revealed to Hunting.com that he will develop intelligent diagnostic robots with practical value for individual diseases. In the future, Ren Siyuan hopes that robots can be like human beings, not only with professional knowledge, but also with feelings and compassion.

At present, the medical think tank team of nearly 10 people, founder Ren Siyuan, has studied medical informatics and artificial intelligence in the United States, and has been engaged in commercial-level big data platform development for many years.

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