It is possible for ordinary people to find signs of illness in advance and prevent "not being ill"

Absrtact: Professor Franz Halberg, founder of Time Biology, may not have imagined that by his first introduction of time medicine into human therapy, he found that it was possible to judge the health of individuals by observing the circadian rhythms of the human body, and that the theory of the treatment of different nodes was moving away from the results

Professor Franz Halberg, founder of Time Biology, may not have imagined that by his first introduction of time medicine into human therapy, he found that it was possible to judge the health of individuals by observing their circadian rhythms, and that the theory of the treatment of different nodes was becoming more and more close to the commercialization of results.

Just wear one of the most fashionable wearable devices right now, through the Daily Sentinel blood pressure , the continuous information will automatically upload the cloud, in the mobile phone corresponding app application, will the continuous blood pressure data fluctuation status analysis, and combined with peer-age benchmark comparison, so in the medium and long term for the future risk of disease judgment. At the same time, according to the blood pressure data, also can be intimate with mobile phone app, SMS and detection terminal to remind you when you can go to exercise, when to take medicine.

This is what Wu Bing and Guo Hui, co-founder of Cloud Medical Technology (Shanghai) Co., Ltd. (hereinafter referred to as "cloud medicine"). "I can't tell you why your body is going to happen, but I can tell you how likely you are to have this disease in the future, which is what we can give." "Wu Bing in short.

Wu Bing Frankly, the previous theory of Time biology to be translated into practical applications is difficult to achieve, limited to the use of selective treatment, that is, through the changes in the physical signs of the law to find the best time to exercise and medication, but can not achieve early to determine the body abnormalities or predict the long-term risk, Because the continuous data acquisition requires a large number of uploads and analysis at any time.

But now, in the combination of wearable devices, cloud computing and mobile terminals, the continuity of large-scale data acquisition is not difficult, and it is possible for ordinary people to find signs of disease early and prevent "not being sick".

Big Data for the king

Wu Bing's father and Professor Franz Halberg, a lifelong friend, talked to Professor Halberg as his grandfather when talking to professors about how mobile internet, cloud computing and time biology could be combined to help people understand their physical condition more in time, It would be a breakthrough to prevent or detect the emergence of chronic diseases in a timely manner. To support Wu Bing, Professor Halberg agreed to authorize all data and analysis models in the time Biology Laboratory for use by the Wu ice.

It is a large number of data support, has become the largest Wu Bing venture. According to its revealed, the laboratory through the 60 's began in the world with national medical laboratories and hospitals to collect the relevant population of various signs (blood pressure, blood sugar, blood oxygen, hormones, heart rate, body temperature, respiration frequency, BMI index, etc.) in different age, sex population changes in the law, The corresponding relationship between the baseline value and abnormal fluctuation of different population and the long-term disease risk was established.

"At the moment our core is the data analysis in the cloud. "Guo Hui added," It often takes years from data creation to finding anomalies to associating chronic diseases with previous data anomalies, and we've been tracking for 27 years the longest gathering object. The concept of large data is to have as many data entry as possible to make a more accurate analysis, the different age groups, different sexes to establish a benchmark, in order to standardize the data model, the primary model of each monomer and data model for analysis and comparison to draw conclusions. ”

But there is a huge amount of data is only a foundation, how to carry out data transmission is also a problem. Guo Hui Frankly, because the physical signs are relatively complex, for a start-up team, to redesign a new hardware products is not realistic, if not on the market and price related testing, rashly put millions of money to develop a new product is also risky. To this end, their approach is to transform the existing sphygmomanometer, to increase the data transmission module, to capture those non-standard information.

At present, at the end of the terminal equipment, cloud Medical has identified two versions, one is the desktop body with wrist strap, the other is wrist-type equipment, convenient for users to carry around at any time to detect, but also with the user interaction, prompting the next test time, if the daily setting of medication reminders, equipment in the test after the blood pressure will prompt users to take drugs on time.

Wu Bing told reporters that at present, the device will set 48 checkpoints a day, only 28 test results to build a personal primary model, and on the mobile end of the app, through all the analysis into a health risk index, users each login will see their own health risk index and the same age, Average risk index of the same sex population, and can identify their health risk in the same age group ranked. At the same time, the equipment will be based on the actual situation of users to adjust, once the data display anomaly, will increase the density of detection, conversely, will lengthen the detection interval, dynamic adjustment.

Market exploration

According to the Ministry of Health report, as of last year, China had 260 million hypertensive patients, the equivalent of 35 years of age and 3 people each have hypertension symptoms, but the disease awareness rate of only 30%, and 70% people do not know that they have been sick. These hypertensive patients, if not timely detection and treatment, will have a variety of associated diseases, such as strokes, Alzheimer's disease, coronary heart syndrome, nephropathy. At the same time, the new increase in blood pressure instruments in the Chinese market each year is 6 million to 8 million units. These data allow Wu Bing and Guo Hui to see the potential of the market.

Guo Hui Frankly, how to help users create new usage habits and generate trust is a challenge. "Continuous sign data analysis This new technology is the whole ' discovery-disposition-assessment ' closed-loop service core link, not only solves the family equipment detection error problem, but also to the body abnormal condition early warning." But this value cannot be experienced at the beginning of the consumer. ”

To this end, the first step in its market exploration will target people in the elderly and pregnant women such strong demand. At the same time, actively explore cooperation with medical institutions. It is reported that when the cloud medical treatment has been with two medical institutions to achieve cooperation, its equipment will be used for patients outside the hospital centralized management.

However, hardware sales are not the only source of profit, the key is how to allow users to recognize services, provide continuous data, and personalize improvements based on user data.

Wu Bing and Guo Hui are clearly aware of this, and they are blunt that hardware sales are only the first step. "To guide everyone to use our services, there must be equipment, the next generation of mobile medical care must be the combination of hardware plus software, we see the hardware as a method of data acquisition, the current market can be seen in the hardware is all the operation on the hardware to do, which is far away from the concept of mobile medicine. ”

In Wu Bing's vision, "through the acquisition, storage, distribution, feedback" in the completion of business closed loop at the same time also strung the entire industry chain, the future of this full service platform value and the number of data sources will be proportional to the relationship. "And behind this is the start of a big mobile-medicine business."