Macrocura Health Management China Co., Ltd and Professor Wang Fu in Henan University of Chinese Medicine, the nationally known Jing Fang Master, held a signing ceremony for their strategic cooperation on “AI-aided Knowledge Inheritance Workroom of Professor Wang Fu” in Zhengzhou, Henan, the eighth ancient capital in China, on Oct 27, 2021.Zhu Jiaqing, vice president of China Information Association For Traditional Chinese Medicine and Pharmacy ( CIATCM), Li Guangjin, Chairperson of Health Commission of Zhengzhou, Professor Wang Fu and Ma Junang, CEO and Founder of Macrocura attended the ceremony.
Professor Wang Fu ( left) and Mr. Ma Junang (right) signed the contract
Following Professor Huang Huang, Dean of International Jing Fang Institute of Nanjing University of Chinese Medicine, Professor Wang Fu is the second prominent Traditional Chinese Medicine (TCM) doctor reaching in-depth cooperation with Macrocura.Firmly following the instruction made by President Xi Jinping, General Secretary of the Communist Party of China (CPC) Central Committee, “AI-aided Knowledge Inheritance Workroom of the Prominent TCM Doctor” is a remarkable innovation with frontier technologies in the preservation and innovative development of Traditional Chinese Medicine, a treasure of Chinese civilization, by carrying on the essence of TCM while pursuing innovations in the field with self-reliance and self-improvement. the establishment of the Workroom breaks the “inventing-losing-reinventing-losing” cycle and enables continuous progress in the TCM development based on previous achievements. In addition, it demonstrates strong confidence in the culture and theory in inheritance and development of TCM knowledge as well as the cultivation of TCM personnel.
Professor Wang Fu has dedicated in practicing medicine to help the public for 4 decades and is determined to carry forward the TCM treasures
Professor Wang Fu in Henan University of Chinese Medicine is the Director of Henan Jing Fang Research Institute, Honorary Director of Canada Integrated Medicine Institute, Managing Director and Jing Fang Committee President of Traditional Chinese Medicine Research Promotion Association of China, Managing Director and Jing Fang Committee President of China Information Association For Traditional Chinese Medicine and Pharmacy(CIATCM), and Vice Chairperson of Jing Fang Specialized Committee of World Federation of Chinese Medicine Societies, and he was reappointed as Chairperson of Henan TCM Prescription Specialized Committee. After his retirement in 2018, Professor Wang Fu established Henan Jing Fang Research Institute.
The culture of Traditional Chinese Medicine is broad and profound with its long-standing core of Jing Fang. Following prescription-composition rules set by Zhang Zhongjing, the Sage of Traditional Chinese Medicine, Professor Wang Fu gradually found out the most effective compatibilities of Eighteen Clashes (or Eighteen Incompatibilities) in Jing Fang prescription combination in treatment after decades of clinical practice. He clearly pointed out that the Eighteen Incompatibilities is an absurd theory and a stumbling block in TCM treatment. Professor Wang Fu has achieved evident clinical efficacy in treating various intractable diseases with the application of Eighteen-Clash compatibilities, which completely break the spiritual shackles restricting TCM practitioners for over a thousand years.
Despite being in his sixties, Professor Wang still receives patients from all over the country. His record of daily outpatient visits is 285. In addition to the busy outpatient service, Professor Wang’s deeper desire is to inherit and carry forward the Classics of TCM. Hence, he sets up various training programmes to impart knowledge and compiles books with his years of experience. He has heretofore published 112 academic works.
Nevertheless, with a great number of students and over 100 works, Professor Wang Fu still considers the existing inheritance pattern as insufficient. After all, an individual only possesses limited time, space and energy; thus, he has been constantly considering how to impart his precious knowledge and experience gathered over years in a faster and more effective way to influence more young TCM practitioners and serve more patients.
There are thousands of prominent TCM doctors like Professor Wang Fu around China, whose knowledge and wisdom are both a summary of their lifetime experience and the valuable fortune of the Chinese nation. However, most of them are in their sixties or even eighties or nineties; thus, the clinical experience of these national treasures in TCM is in urgent need of being saved and inherited.
Knowledge and experience are learnt fast by AI to innovatively inherit and develop TCM
The Chinese government has attached great importance to the TCM inheritance and innovation in recent years. Several policies and principles have been issued to require further improvement in the academic inheritance of prominent TCM experts, development of high-level TCM personnel, and establishment of effective methods and innovative patterns in academic inheritance, promotion, and application.
The widely adopted approach to carry forward prominent experts’ academic experience at present is still based on the traditional master-apprentice system and manual prescription record, which is rigid, tedious, and inefficient. The only thing young TCM practitioners can do is to value the apprenticeship and learn in a dogmatic way. They have to understand, refine and enhance what they learnt in practice slowly, and endure the long and pitted road to becoming an expert. Even worse, the essence of these prominent experts’ thinking may be lost, misrepresented, and misinterpreted in the traditional way. Consequently, traditional Chinese medicine has been trapped in the cycle of “inventing-losing-reinventing-losing”.
Electronic information technology (EIT) has been adopted in some attempts made in inheritance, which is mostly digitizing paper documents. However, it is to match clinical issues with digital “specified medical cases” by certain search technology in application. On the contrary, Macrocura innovatively started from standardizing and structuring the underlying data of Traditional Chinese Medicine, and makes the trained mathematical model more accurate in describing the object by combining multi-domain computer technology and AI technology. Thereby, the clinical thinking patterns of prominent experts are preserved as they are on the cloud server.
Based on the years of valuable individual clinical experience of a prominent TCM expert, “AI-aided Knowledge Inheritance Workroom of the Prominent TCM Doctor” applies frontier technologies including AI, big data and cloud computing to intelligently convert the expert’s knowledge for the purpose of establishing a dedicated AI prescription engine for the expert. Therefore, the engine can not only closely learn the expert’s clinical thinking pattern as well as the diagnosis and treatment experience, but also make continuous enhancement in quantity and quality. Due to its tireless learning around the clock, the software processes highly efficient and stable prescription recommendation. Macrocura, the TCM brain trained by the AI engine of TCM, can help young doctors by reducing learning difficulties, accelerating learning process as well as shortening the road to success. Therefore, young practitioners will be able to mimic how the expert make prescriptions, and their individual treatment abilities will be dramatically enhanced, leading to benefits for the public.
The domestic enterprise has attracted patriotic overseas returnees to enhance the TCM brain
Dr. Xin, formerly employed by the fourth largest insurance company in the United States, was the leader of the AI team in machine learning. Currently, the world-class enterprises have been actively recruiting competent AI personnel around the world. The top-level machine learning experts are scarce, especially senior leaders. Thus, the talent poaching has even spread to the college faculty. However, at the news that Macrocura, a domestic enterprise in Hangzhou, China, was recruiting experts to join a great project of developing the AI engine of Traditional Chinese Medicine, Dr. Xin resigned his well-paid work in the overseas company and moved back to China with his families, to embark on a new journey with his start-up partners. He has dedicated to the career of facilitating Traditional Chinese Medicine with advanced technologies to enable its continuous progress based on previous achievements.
Since its establishment 5 years ago, Macrocura, a self-funded enterprise, has achieved several technological breakthroughs and succeeded in the development of a diagnostic-level software with the efforts of its over 70 employees. Diagnostic-level software is the most valuable among medical software. The “secret weapon” of Macrocura is the individually-researched-and-developed twin-engine core, which is exclusive in the industry. Combining the top-down expert diagnosis engine and the bottom-up machine-learning engine, the Macrocura software can effectively capture data of medical cases to explore the diagnostic and treatment laws, so as to conduct self-learning and replicate the thinking pattern of experts. The software is a flexible self-developing “TCM brain” instead of a database that simply reads and matches data.
There are tens of thousands of medical software types; however, less than 1% of them are diagnostic-level ones. In addition, it is extremely difficult to develop a diagnostic software of general internal medicine in western medicine, because it is hardly possible to develop corresponding diagnostic-level software for tens of thousands of diseases on the disease spectrum. On the contrary, Traditional Chinese Medicine emphasizes syndrome differentiation, which focuses on observation. Meanwhile, computer technologies can convert a large number of subjective observations such as symptoms and physical signs to objective clinical data, which enables the software to make prescriptions with the help of algorithms. In this case, the software is an advisor while the doctor is the decision maker. The doctor can make decisions based on prescriptions recommended by the computer, which not only ensures the machine-level stability in treatment, but also maintains the individual innovation and humanistic care of the doctor to patients.
Superior doctors that can prevents sickness are available for the ordinary people
After a three-year trial among the rural and community doctors, Macrocura Clinical Diagnosis Support System for TCM has assisted 20,000 doctors in learning Traditional Chinese Medicine rapidly as well as applying TCM to help the public. With the development of more Prominent Doctor Engines, hundreds of thousands of community-level doctors will be able to make various expert-level prescriptions in their clinics.
Due to its cloud deployment, the software significantly reduces the user cost for doctors. It can be downloaded to any computer, and enable doctors to manage clinic information, study, perform diagnostic and treatment and provide door-to-door medicine delivery service for patients. Online diagnosis and off-line medicine delivery service is also available for patients living in remote areas to provide more convenience to people by utilizing data. Furthermore, Online consultation of specialists and referral services can also be gained by doctors for patients with serious diseases.
Representatives of Professor Wang and Macrocura's team
Professor Wang Fu is another significant Jing Fang Master cooperating with Macrocura in establishing AI-aided Knowledge Inheritance Workroom after Professor Huang Huang. It is certain that the cooperation will not only promote a better and faster development in TCM inheritance, but also embark on a new journey. Meanwhile, it is expected that an increasing number of distinguished doctors and TCM masters will work with Macrocura to make remarkable achievements in TCM development together in the new era.
The Internet effectively addresses the issue of unevenly distributed medical resources, and AI technology fundamentally solves the problem of excellent-doctor shortage. Although the integration of TCM and key technologies was unsuccessful in the previous Industrial Revolutions, we will seize the historic opportunity in the technology-driven 4th Industrial Revolution to create a new situation for TCM.
“To remain true to our original aspiration and founding mission”, we must better preserve, inherit, and develop Traditional Chinese Medicine, the treasure of the Chinese nation. It is our commitment to keep to the right path and make innovations to contribute to the “Healthy China” strategy set forth by the Central Committee of the Communist Party of China.