Download 2021 Webinar – Contemporary Application of Jing Fang
Video recordings of the September 2021 two-day webinar on the contemporary application of Jing Fang, jointly hosted by Pearls of Wisdom Chinese Medicine (Australia) and Bo-Yi Academy (The Netherlands), presented by Dr. Greta Young Jie De (Ph.D)
The contemporary application of Jing Fang is based on the development of modern diseases, the pathogenesis and key symptoms to determine the optimum selection of Jing Fang. In recent years, researches on modern pharmacology of Chinese medicine has achieved important results. Most of the results on herbs can be combined with the traditional Chinese Medicine pattern identification to enhance the chemical indicators of many contemporary diseases.
In short, the objective of this webinar was to share with the attendees some of the targeted herbs and dosages based on recent years researches on pharmacology to fast track the clinical outcome.
Ways of improving physical and chemical indicators of modern diseases with Chinese medicine:
With the advent of modern researches on single Chinese herbs, this has provided a platform for treatment of chronic disease with no significant symptoms, while the addition of a couple of single herbs can significantly improve the chemical indicators.
For example, abnormal blood lipids is a prevalent condition of metabolic abnormality, the targeted treatment strategy is to alleviate turbidity by using herbs such as Hong Qu, Shan Za and Wu Gu Chong 五谷虫 etc. Likewise, bitter and sour herbs have similar effect on the reduction of blood sugar for diabetes patients. Frequently used herbs are Huang Lian, Huang Qin, Da Huang, Zhi Mu and Cang Zhu.
Treatment with anti-rheumatic drugs such as Wei Ling Xian, Qin Pi and Qin Jiao for management of damp bi can promote the fast excretion of uric acid, lower the blood uric acid which in turn can effectively contain the further deterioration of the disorder.
Note: You will receive your Certificate of Attendance after submission of Quiz (included in the download).