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There is urgent need to discover effective traditional Chinese medicine(TCM) for treating coronavirus disease 2019(COVID-19). The development of a bioinformatic tool is beneficial to predict the efficacy of TCM against COVID-19. Here we deve-loped a prediction platform TCMATCOV to predict the efficacy of the anti-coronavirus pneumonia effect of TCM, based on the interaction network imitating the disease network of COVID-19. This COVID-19 network model was constructed by protein-protein interactions of differentially expressed genes in mouse pneumonia caused by SARS-CoV and cytokines specifically up-regulated by COVID-19. TCMATCOV adopted quantitative evaluation algorithm of disease network disturbance after multi-target drug attack to predict potential drug effects. Based on the TCMATCOV platform, 106 TCM were calculated and predicted. Among them, the TCM with a high disturbance score account for a high proportion of the classic anti-COVID-19 prescriptions used by clinicians, suggesting that TCMATCOV has a good prediction ability to discover the effective TCM. The five flavors of Chinese medicine with a disturbance score greater than 1 are mainly spicy and bitter. The main meridian of these TCM is lung, heart, spleen, liver, and stomach meridian. The TCM related with QI and warm TCM have higher disturbance score. As a prediction tool for anti-COVID-19 TCM prescription, TCMATCOV platform possesses the potential to discovery possible effective TCM against COVID-19.

Recently a number of acupuncture clinical trial projects mainly conducted by conventional scientists have generated many negative results. A large meta-analysis of patient-level acupuncture data for the treatment of chronic pain conditions have demonstrated that the effects of verum acupuncture on pain improvement have statistically significant, but small, differences compared with sham-acupuncture procedures and no difference between acupuncture points and non-points. These conclusions have puzzled the acupuncture community and made confusion for acupuncture research and practices. The purpose of this paper was to compare differences between acupuncture clinical practices and the trial studies, which include "acupuncture technical principles", "acupuncture clinical trial design", and "acupuncture practice based on the theory of traditional Chinese medicine". These factors contribute to the puzzle between the acupuncture community/practice and acupuncture clinical trials, which can be improved in future studies.

In the initial stage (1950s) of the establishment of the People's Republic of China, the Pavlov's theory played an important influence on Chinese biology and medical science fields. At that time, many schools or colleges of traditional Chinese medicine were set up one after another, the first edition of teaching materials or textbook was complete, and a lot of advanced training courses and training classes were developed. In that specific period of "acupuncture scientification", Mr. MA Ji-xing, a professor from China Academy of Traditional Chinese Medicine, is a representative scholar who employed Pavlov's theory to make a scientific explanation about the underlying physiological mechanisms of acupuncture-moxibustion therapy. For example, he employed nerve network or nerve system to explain topical acupuncture stimulation and distal stimulation to induce local effect or distal curative effect, employed the cutaneous-visceral reflex to explain the therapeutic effect of acu-moxibustion for visceral disorders, used the viscera-cutaneous reflex to explain the tender point (sensitized region) or Ashi-point, used the "predominant factor mechanism" or excitation transfer of the stimulated non-sensitized cutaneous region close to the diseased locus to explain the pain-relief of acupuncture stimulation, used the stimulation strength, duration, frequency and distance (to the locus) to explain the needling reinforcing or reducing effect, and so on and so forth. He wrote many articles and books about acupuncturology, one of which was named Jianyao Zhenjiu Xue (Concise Acupuncturology), a well-known demonstration teaching material for advanced training courses, inducing a significant influence on the acu-moxibustion field in both academic field and clinical practice. Looking back this period of history may provide a helpful reference for current research on academic development of acupuncturology.

Treatment determination based on syndrome differentiation is the key of Chinese medicine. A feasible way of improving the clinical therapy effectiveness is needed to correctly differentiate the syndrome classifications based on the clinical manifestations. In this paper, a novel data mining method based on manifold ranking (MR) is proposed to explore the relation between syndromes and symptoms for viral hepatitis. Since MR could take the symptom data with expert differentiation and the symptom data without expert differentiation into the task of syndrome classification, the clinical information used for modeling the syndrome features is greatly enlarged so as to improve the precise of syndrome classification. In addition, the proposed method of syndrome classification could also avoid two disadvantages in previous methods: linear relation of the clinical data and mutually exclusive symptoms among different syndromes. And it could help exploit the latent relation between syndromes and symptoms more effectively. Better performance of syndrome classification is able to be achieved according to the experimental results and the clinical experts.