1.Development Status and Strategies of Tibetan Medicine Industry
Meng MAO ; Xiaoqiao REN ; Naijie LU ; Qingjia REN
Chinese Journal of Information on Traditional Chinese Medicine 2015;22(11):6-9
Tibetan Medicine (TM) has become important source of feature industry in several main Tibetan regions with its unique cultural and natural resources. This article argued that the researches on TM basic theories are weak;ecological environment for TM is fragile;safety evaluation ability is relatively insufficient;standardization system for researches on TM is needed; reasonable talent team supporting the development of TM industry is required;The combination of production, learning and research is not close;innovation ability is low;guiding principles for the evaluation of new TM do not exist. All of these are main factors that restrict the development of TM industry. Therefore, the main measures for the promotion of TM are:improve research level of TM theories;strengthen the protection of TM resources;promote national standard construction of TM;improve collaborative innovation ability of TM;enhance talent team construction;formulate appropriate policies and create good marketing environment.
2.Tibetan Medicine Nature Theory and Its Implications in Modern Tibetan Medicine Nature Theory Research
Xiaoqiao REN ; Meng MAO ; Huijuan GUO ; Mingqiang WANG ; Huichao WU
World Science and Technology-Modernization of Traditional Chinese Medicine 2015;(9):1911-1916
Traditional Tibetan medicine nature theory was the core of Tibetan medicine. This study was aimed to understand the scientific values of Tibetan medicine correctly and catch its unique advantages accurately. The history origin, nature and taste, target, effect, the relationship between diseases and Tibetan medicine and other aspects of traditional Tibetan medicine nature theory were discussed in this paper. Several points were put forward, which included the research of Tibetan medicine nature theory was the premise to maintain and develop Tibetan medicine; it was necessary to carry out literature research, definite and improve the nature theory; the data mining technology and systems biology should be applied to the theory research to elucidate the rules and scientific connotation of Tibetan medicine nature; building the model of experimental study with clinical research to determine its clinical values forward during the development of Tibetan medicine nature theory research.
3.Exploring the Rule of the Diagnosis and Treatment of Stroke Based on the Tibetan Medical Theory of White Meridian
Lijuan ZHENG ; Xiaoqiao REN ; Mingqiang WANG ; Meng MAO ; Junqiao GAO ; Ziyan ZHOU ; Zhiyun DENG ; Longmei LI
World Science and Technology-Modernization of Traditional Chinese Medicine 2017;19(2):370-374
Meridians in human body were classified as white meridian and black meridian according to Tibetan medicine.Season and environment,improper diet,toxic heat and trauma were recognized as main reasons damaging the white meridian in Tibetan Medicine,leading to the emerge of white meridian disease induced by Long (one of the three factors) and blood disorder.White meridian disease in Tibetan medicine involved a series diseases,such as many clinical diseases,due to the damage of white meridian system caused by pathogenic factors.Stroke also belonged to white meridian disease.Drugs and treatments were selected based on the nature of disease such as cold and heat,onset,thelocation of disease and the three factors (Chi Ba,Long and Pei Gen).It was the fundamental principle of the treatment rules of white meridian disease in Tibetan medicine,namely,prescribing medication with the rule of diagnosis and treatment,comprehensive analysis of the causes of diseases and mastering the change law of diseases and syndromes in clinic.
4.Application of artificial intelligence in colorectal surgery
International Journal of Surgery 2021;48(8):505-509
With the dramatically development of artificial intelligence (AI), especially the advent of deep learning, now it can be applied to medicine reliably and efficiently. In the field of colorectal surgery, the application of AI has resulted in profound affect. The detection of colon polyp and assessment of invasiveness depth of colorectal cancer were improved by AI-assisted colonoscopy. Based on the routine data from medical imaging, demographic and clinicopathological parameters, AI may provide more accurate predictions about prognosis, surgical complication and outcome, so to help decision making and perioperative management. And the advent of real intelligent operative robot will make automatic operation possible in the future. The application of AI will improve the development of colorectal surgery significantly and make it more precise, effective and intelligent.