YueTang Health: Pioneering Machine Learning-Powered Health Management 3.0 for Chronic Disease

Yuetang Health Management 3.0 is a new model of health management that leverages machine learning to proactively understand user conditions, analyze behaviors and habits, predict health risks, and provide user-centric solutions. By integrating precision medicine with big data technology, it enables precise identification of disease causes without manual intervention, achieving targeted management and clearer outcomes. Meanwhile, the solutions accommodate user preferences, thereby improving adherence and enhancing user engagement.

According to WHO statistics, China has approximately 160 million people with dysglycemia and dyslipidemia, around 300 million who are obese or overweight, and roughly 500 million at high risk for diabetes. Compared with the scarce medical resources available, the vast population suffering from chronic diseases poses a significant challenge to chronic disease management: tertiary hospitals are strained and overcrowded, while community health centers lack robust chronic disease management networks, conduct insufficient assessments and follow-ups, and are ill-equipped to handle the massive workload of managing this population. Now, YueTang offers a novel approach—Health Management 3.0 powered by machine learning.

Health Management 1.0It is relatively traditional, primarily conducted through face-to-face consultations between specialists and patients. The effectiveness of management depends on the specialists’ expertise and patient adherence. This approach incurs higher costs and is constrained by time, location, and the availability and quality of specialists, resulting in a limited reach.

Health Management 2.0The market is currently a red ocean, with a large influx of mobile medical and mobile health companies. The intervention of mobile internet has resolved the spatial constraints inherent in Health Management 1.0 and improved communication efficiency between specialists and users. However, it has failed to address issues such as uncertain therapeutic outcomes and poor user adherence, nor has it alleviated the shortage of medical resources caused by the scarcity of top-tier specialists.

Yuetang Health Management 3.0 builds on the strengths of its previous two phases to align more closely with users, dedicated to providing user-centric health management solutions.

Yuetang leverages big data and artificial intelligence, integrating the expertise and wisdom of top-tier specialists. By conducting comprehensive monitoring of users’ genetic testing results, physical examinations, vital signs, health habits, lifestyle, and overall living conditions, it precisely identifies pathogenic risk factors. The system automatically provides precise, personalized recommendations 24/7, thereby alleviating the burden on scarce medical resources.

Internationally published medical journals have also confirmed that machine learning-based health management achieves outcomes comparable to those of expert-led management, while incurring lower service costs. It is foreseeable that machine learning-based health management will become a new trend in the future management of chronic diseases.

The Yuetang team adopts the epidemiological model from Harvard Medical School, supported by leading medical theories from the American Diabetes Association, the American Heart Association, and the Chinese Nutrition Society.

From November 2011 to October 2012, Yang Yufeng and her team began to validate whether foreign models and theories were applicable in China. The study involved approximately 10,000 participants from across the country, covering an age range of 20 to 70 years. They were randomly assigned to four different trial groups, with strict adherence to medical and scientific research methodologies.

Prior to the sample test, participants underwent a physical examination. During the testing period, individuals participating in the sample test received interventions guided by Yuetang’s medical model, including dietary management, exercise regimens, nutritional supplementation, and real-time monitoring of blood glucose and blood pressure. After the test, another physical examination was conducted, and the results were compared with the pre-test indicators.

Yang Yufeng, CEO of YueTang, stated that test results indicate the effectiveness rate for blood glucose improvement exceeds 90% among users adopting his team’s regimen. Initially, a 70-year-old man was resistant to the trial, concerned about its impact on his quality of life and unwilling to compromise his dietary preferences. However, after experiencing improved blood glucose levels and noticeable enhancements in his physical health, he voluntarily became an advocate for the program.

After extensive practical application confirmed that Health Management 3.0 can effectively manage blood glucose levels, YueTang is committed to better serving its users in this regard. To this end, YueTang focuses on three key areas:

1. Precise and Effective Solutions: Based on physical condition, genetic factors, and lifestyle habits, Yuetang leverages an extensive database and proprietary algorithms to generate personalized, dynamically adjusted, and precise solutions, helping users effectively improve their health status.

2. Easy-to-Implement Plan: To enhance user adherence, YueTang has annotated data on 700 types of exercises, 800 nutritional supplements, 8,000 dishes, 400,000 pre-packaged foods, 1 million food delivery options, and 500,000 restaurants. This comprehensive database allows users to access information anytime and anywhere, enabling precise health guidance that covers all aspects of daily life and facilitates easy implementation of health plans.

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3. Making the Program More Engaging: YueTang links tasks and incentive systems through a health index, instantly visualizing the relationship between behavior and health. This transforms traditional mechanical record-keeping into real-time interaction with users, making self-management more enjoyable.

Furthermore, YueTang has pioneered the "Sugar Point" system, a proprietary metric for assessing the impact of food on blood glucose fluctuations. This system eliminates the need for complex meal-planning calculations by converting dietary intake and physical activity into simple single-digit addition and subtraction operations, enabling users without medical or nutritional expertise to make scientific, flexible food choices based on their personal preferences.(For more details, see the VCBeat article: YueTang: China’s First App to Deliver Personalized Solutions Based on Precision Medicine and Big Data Technology)

Yuetang’s B-side clients include physical examination centers, health management organizations, insurance companies, pharmacy and pharmaceutical e-commerce platforms, community hospitals, and others.

For physical examination institutions and health management organizations, Yuetang primarily provides technical support to their users through its administrator portal and select backend interfaces. Meanwhile, it acquires user data from these institutions, ultimately converting a portion of them into Yuetang users. For insurance companies, Yuetang offers user health management services, population risk analysis, and data support for insurance product design.

Yuetang users typically purchase recommended foods, nutritional supplements, and other products based on the platform’s suggestions. Meanwhile, Yuetang’s big data capabilities will also support the research, development, and sales of nutritional supplements and pharmaceuticals in the future.

Yuetang has reached cooperation intentions with Databao, PICC Health, Haozhuo Data under Meinian Onehealth, Boao Yihe, Meisheng Gene, Codoon, Yuedongquan, 111.com, Baidu Baike, and Baidu Waimai. Yuetang aims to work with its industry chain partners to provide a one-stop, closed-loop solution centered on users.

Yuetang provides end-users with health risk assessments, personalized health improvement plans, and supporting services.

Yuetang’s health improvement program relies on the Glycemic Point System, making dietary control and physical activity practical, simple, and easy to implement. Users receive guidance whether they are cooking at home, dining out, or ordering food delivery. By linking exercise and diet through Glycemic Points, the system enables users to maintain their health with ease, even when they occasionally overeat or travel for business.

Its exercise program supports a variety of smart wearable devices and Bluetooth-enabled peripherals, facilitating data recording. Based on the collected data, it dynamically adjusts recommendations across three dimensions—diet, exercise, and supplements—to generate easy-to-follow, actionable, and effective solutions.

Health monitoring data encompasses genetics, physical examination metrics, lifestyle habits, and 24/7 dynamic physiological indicators, enabling comprehensive health data detection, real-time feedback, and timely adjustments to personalized plans. Based on the collected data, Yuetang provides over 20 analytical dimensions for more comprehensive data interpretation.

Throughout the interview, VCBeat deeply perceived three defining characteristics of Yuetang’s glucose management solution: effectiveness, engagement, and ease of implementation. Only by delivering visible results without compromising users’ quality of life can a product truly motivate adoption. Powered by machine learning, the solution achieves an optimal balance among efficacy, cost, and adherence.