Constitution identification model in traditional Chinese medicine based on multiple features

Objective To construct a precise model for identifying traditional Chinese medicine(TCM)constitutions;thereby offering optimized guidance for clinical diagnosis and treatment plan-ning;and ultimately enhancing medical efficiency and treatment outcomes.Methods First;TCM full-body inspection data acquisition equipment was employed to col-lect full-body standing images of healthy people;from which the constitutions were labelled and defined in accordance with the Constitution in Chinese Medicine Questionnaire(CCMQ);and a dataset encompassing labelled constitutions was constructed.Second;heat-suppres-sion valve(HSV)color space and improved local binary patterns(LBP)algorithm were lever-aged for the extraction of features such as facial complexion and body shape.In addition;a dual-branch deep network was employed to collect deep features from the full-body standing images.Last;the random forest(RF)algorithm was utilized to learn the extracted multifea-tures;which were subsequently employed to establish a TCM constitution identification mod-el.Accuracy;precision;and F1 score were the three measures selected to assess the perfor-mance of the model.Results It was found that the accuracy;precision;and F1 score of the proposed model based on multifeatures for identifying TCM constitutions were 0.842;0.868;and 0.790;respectively.In comparison with the identification models that encompass a single feature;either a single facial complexion feature;a body shape feature;or deep features;the accuracy of the model that incorporating all the aforementioned features was elevated by 0.105;0.105;and 0.079;the precision increased by 0.164;0.164;and 0.211;and the F1 score rose by 0.071;0.071;and 0.084;respectively.Conclusion The research findings affirmed the viability of the proposed model;which incor-porated multifeatures;including the facial complexion feature;the body shape feature;and the deep feature.In addition;by employing the proposed model;the objectification and intel-ligence of identifying constitutions in TCM practices could be optimized.

General Situation of Traditional Chinese Medicine Identification Methods

Traditional Chinese medicines are the material basis for the treatment of diseases under theoretical direction, as well as the raw materials of traditional Chinese medicine decoction pieces and Chinese patent medicines. The quality of traditional Chinese medicine directly influences clinical efficacy. Therefore, the identification of traditional Chinese medicine is the responsibility of medicinal workers. The identification method develops from observation, tasting, smelling and listening to firing method and testing with water, and the construction of fingerprints of traditional Chinese medicines and molecular biological techniques. The development and evolution of traditional Chinese medicine identification methods was reviewed in this paper.

Analysis on the traditional Chinese medicine syndromes and Six-Meridian Pattern Identification of coronavirus disease 2019

Zhongjing Zhang’s Shang Han Lun(Treatise on Cold-induced Diseases,an ancient Chinese medical book written by Zhongjing Zhang in the Eastern Han Dynasty)was pioneering to conduct the Six-Meridian Pattern Identification,which provided later generations with a theoretical basis for the treatment of Exogenous Febrile Diseases.The coronavirus disease 2019 belongs to the category of“Pestilence”(the general term for virulent infectious epidemic diseases)in“Febrile Diseases”(the general term for acute externally contracted diseases caused by Warm Pathogens,with fever as the chief manifestation,also known as Warm Diseases)and the treatment of coronavirus disease 2019 is mostly based on the Triple Energizer Pattern Identification(the a categorization of Pattern Identification according to the theory of the Triple Energizer)or Defense,Qi,Nutrient and Blood Pattern Identification(the categorization of Febrile Diseases Pattern Identification according to the theory of Defense,Qi,Nutrient and Blood which indicates the stages of the clinical course with corresponding pathological changes).Although the theory of Cold-induced Diseases(the condition caused by Cold,manifested as chills and fever,absence of sweating,headache and floating-tense pulse)and the theory of Febrile Disease seem to be entirely distinct with each other,Zhongjing Zhang’s theory contained Triple Energizer Pattern Identification or Defense,Qi,Nutrient and Blood Pattern Identification,and Triple Energizer Pattern Identification or Defense Qi,Nutrient and Blood Pattern Identification also contained Zhongjing Zhang’s Six-Meridian Pattern Identification(the categorization of Pattern Identification according to the theory of the Six Meridians,applied to the diagnosis of acute Febrile Diseases at different stages,and also useful for the Pattern Identification of other diseases).The basic principles and therapeutic methods of Cold-induced Diseases and Febrile Diseases are intertwined.Therefore,this paper will combine the two theories to analyze the traditional Chinese medicine syndromes of coronavirus disease 2019,and try to use Six-Meridian Pattern Identification to guide the treatment of this disease.

Antioxidant Activity of 50 Traditional Chinese Medicinal Materials Varies with Total Phenolics

This study was designed to determine the total phenolic content of 50 herbs and to examine their antioxidant potential. In the sample preparation, 60% ethanol was chosen as the extraction solvent for the subsequent experiments. Folin-Cicolteau phenol reagent and a colorimetric method were used to determine the total phenolic content of the selected herbs. The result showed that total phenolic content of those herbs ranged from 2 to 185 mg/g. In antioxidant assay, the ferric reducing/antioxidant power (FRAP) values ranged from 2 to 134 mg GAE/g;the IC50 values of DPPH?·, ·OH and ?scavenging were in the range of 0.06 - 5.50 mg/mL, 0.017 - 0.636 mg/mL and 0.050 - 0.681 mg/mL respectively. Flos caryophylli was the exceptant in the ?scavenging assay because there was no linear relation between the concentration and the scavenging percentage. Compared to gallic acid, ascorbic acid and butylated hydroxytoluene (BHT) in antioxidant assay as positive control, the most potential antioxidant herbs were Cacumen platycladi, Radix et Rhizoma rhei, Rhizoma rhodiolae crenulatae, and Rhizoma sanguisorbae with considerable content of phenolics. Especially, a positive and significant correlation was found between the total phenolic content and FRAP value or DPPH· scavenging percentage.

A Preliminary Study on Legitimacy Identification Standards for Unconventional Treatment Technologies in Traditional Chinese Medicine

Compared with western medicine with objective and standardized theories,traditional Chinese medicine(TCM)places more emphasis on subjective thinking.Moreover,there are several academic schools under TCM,and ancient secret prescriptions and proven prescriptions play important roles in TCM treatments.However,the drugs used by some academic schools and some ancient secret prescriptions and proven prescriptions often contradict mainstream theories,and some TCM treatment methods do not significantly conform to the methods that are considered safe by the Chinese Pharmacopoeia(2015 edition),medical textbooks and other canonical books.Despite the long history and abundant successful experiences of TCM treatments,controversies regarding these unconventional treatment technologies,specifically when these breach the safety standards of treatment,exist considering that several medical adverse effects are observed when performing these unconventional treatments.In view of this,distinguishing“welldefined technological breakthrough”from“medical fault”is considered necessary.This study discusses the issue and raises constructive suggestions on the corresponding identification standards for unconventional treatment strategies in TCM.

Reason Analysis and Risk Prevention of Soaring Price of Traditional Chinese Medicinal Materials

In recent years,the price of traditional Chinese medicinal materials soars continuously,and the resulting price risk increasingly looms large,which has critically affected midstream and downstream industries and peoples' demand for drug,and imperiled healthy and orderly development of traditional Chinese medicinal industries.Based on the status quo of continuous skyrocketing price of traditional Chinese medicinal materials at present,we winkle out the root cause of soaring price as follows:the supply and demand lose balance;the production costs hike up;there are other factors responsible for soaring price.This paper further analyses the impact of sharp increase in price of traditional Chinese medicinal materials on all links of industry chain as follows:the medicinal herb growers never benefit from soaring price;the counterfeiters and forgers in midstream industry increase;the gross profit rate of Chinese medicine enterprises declines.In accordance with the risk arising from abnormal fluctuation in price of traditional Chinese medicinal materials,corresponding precautionary measures are put forward as follows:promote the quality of traditional Chinese medicinal materials through management of value chain;curtail the production and management cost of traditional Chinese medicinal materials through management of organization chain;stabilize price of traditional Chinese medicinal materials through management of information chain;reduce transaction cost of traditional Chinese medicinal materials through management of logistics chain.

Problems in the Development of Traditional Chinese Medicinal Materials Planting Industry in Shiyan City and Countermeasures

Through the analysis on the cultivation advantages and development problems of traditional Chinese medicinal planting industry in Shiyan City, Hubei Province, some measures were proposed to enlarge and enhance the traditional Chinese medicinal planting industry, namely, large-scale, standardized, market-oriented and regionalized planting, thereby making it the pillar industry for farmers to increase income.

Perspectives in application of biosensors for the modernization of traditional Chinese medicine

Biosensor is an instrument which is sensitive to biological material and converts its concentration into electrical signals.Organisms such as enzymes, antibodies, tissues, cells and so on can selectively identify specific substances. Thesemolecular recognition functions can be combined with the target, such as the binding of antibodies and antigens, and thebinding of enzymes to the substrate through the recognition process. Biosensor has the advantages of high specificity,high sensitivity, fast reaction speed, low cost and easy operation. It has wide application prospect in food, pharmacy,chemical industry, clinical examination, biomedicine, environmental monitoring and so on, especially as a newtechnology means, in the field of modern herbal medicine research influence. Studies have demonstrated that thebiosensing technology has been applied to, traditional Chinese medicine （TCM） targets, isolation and purification ofTCM, the mechanism of TCM, quality control of TCM, the active ingredients detection of TCM and other basicresearches. Biosensor technology has made an important contribution to the research of modern herbal medicine, and hasbecome a Hot-spot in future research.

Gaps and feasibility of fixed-dose combination strategy in the development of modern Chinese medicine

isTraditional Chinese medicine(TCM)is a highly complex chemical substance system,which not only reflected in the complexity of the chemical components and their interrelationships,but also in the intricacy of the prescription’s connection with the human body.Component compatibility strategy has been proposed for developing modern TCM since 2005 and established comprehensive relevant technologies and research approaches.Moreover,to meet the safety and efficacy of current pharmaceuticals,research on fixed-dose combination drugs is directed by modern scientific theories,conforms to TCM compatibility principles and clarifies material basis and pharmacological mechanisms and component-effect correlations.This review summarized gaps and feasibility of fixed-dose combination strategy in the development of modern TCM research and assessed their advantages and disadvantages in light of contemporary drug combination research practices.

Systems Theory-Driven Framework for AI Integration into the Holistic Material Basis Research of Traditional Chinese Medicine

This paper introduces a systems theory-driven framework to integration artificial intelligence(AI)into traditional Chinese medicine(TCM)research,enhancing the understanding of TCM’s holistic material basis while adhering to evidence-based principles.Utilizing the System Function Decoding Model(SFDM),the research progresses through define,quantify,infer,and validate phases to systematically explore TCM’s material basis.It employs a dual analytical approach that combines top-down,systems theory-guided perspectives with bottom-up,elements-structure-function methodologies,provides comprehensive insights into TCM’s holistic material basis.Moreover,the research examines AI’s role in quantitative assessment and predictive analysis of TCM’s material components,proposing two specific AIdriven technical applications.This interdisciplinary effort underscores AI’s potential to enhance our understanding of TCM’s holistic material basis and establishes a foundation for future research at the intersection of traditional wisdom and modern technology.

Network pharmacology approaches for research of Traditional Chinese Medicines

Pharmacodynamics material basis and effective mechanisms are the two main issues to decipher the mechnisms of action of Traditional Chinese medicines(TCMs)for the treatment of diseases.TCMs,in“multi-component,multi-target,multi-pathway”paradigm,show satisfactory clinical results in complex diseases.New ideas and methods are urgently needed to explain the complex interactions between TCMs and diseases.Network pharmacology(NP)provides a novel paradigm to uncover and visualize the underlying interaction networks of TCMs against multifactorial diseases.The development and application of NP has promoted the safety,efficacy,and mechanism investigations of TCMs,which then reinforces the credibility and popularity of TCMs.The current organcentricity of medicine and the“one disease-one target-one drug”dogma obstruct the understanding of complex diseases and the development of effective drugs.Therefore,more attentions should be paid to shift from“phenotype and symptom”to“endotype and cause”in understanding and redefining current diseases.In the past two decades,with the advent of advanced and intelligent technologies(such as metabolomics,proteomics,transcriptomics,single-cell omics,and artificial intelligence),NP has been improved and deeply implemented,and presented its great value and potential as the next drug-discovery paradigm.NP is developed to cure causal mechanisms instead of treating symptoms.This review briefly summarizes the recent research progress on NP application in TCMs for efficacy research,mechanism elucidation,target prediction,safety evaluation,drug repurposing,and drug design.

基于BERTopic与CiteSpace的中国中医药领域研究热点与主题演化分析

目的/意义 梳理近10年中国中医药领域文献,阐述该领域热点主题与发展趋势。方法/过程 检索2013-2022年万方数据平台中医药领域研究文献,以摘要为研究对象,利用BERTopic模型抽取主题,并采用CiteSpace进行可视化分析。结果/结论 纳入中文文献12 683篇,发现5个主题:临床试验与疗效、病机与药理研究、中医药领域发展、慢病治疗、药物分析与文献研究。对其中热度持续增长的中医药领域发展主题深入分析,提出人工智能与中医药领域的深度融合是未来趋势。

基于化学成分信息“数字身份证”的中药材鉴定策略探索

目的:针对当前无法对未知样品进行快速“盲检”鉴定药材的情况,提出中药材化学成分信息“数字身份证”鉴定策略,以期实现未知药材的鉴定分析。方法:基于数学分析法和实证研究法,确定鉴定步骤:(1)利用UHPLC-QTOF-MS对多批次药材进行分析;(2)经数字量化,提取多批次药材的共有离子;(3)根据离子强度输出top-N个离子信息分别作为不同药材的“数字身份证”;(4)以上述“数字身份证”为基准,通过保留时间、质荷比、离子强度进行样品的匹配鉴定,反馈匹配可信度(Matching Credibility,MC)。结果:通过数学分析和实证研究表明,基于化学成分信息“数字身份证”的中药材鉴定策略是切实可行的。在该策略下,9种药材可被快速准确地鉴定。结论:基于化学成分信息“数字身份证”的中药材鉴定策略有助于实现未知中药材的鉴定分析,可用于中药材的非靶向鉴定。

基于六经辨证探讨颈椎病的防治

颈椎病是临床常见病之一,通过药物、功能康复等,在一定程度上可缓解患者的临床症状。六经辨证是中医诊疗疾病的方法论,是中医辨证施治整体观的具体体现,通过六经辨证,医者可以准确地定位包括颈椎病在内的临床各类疾病的位置和病因,为临床诊疗提供更有针对性的方案。本文通过检索文献,探讨六经辨证理论在颈椎病防治中的应用,以期为临床诊疗提供一定的思路和方法。

孙克伟教授辨证论治肝病的经验探析

孙克伟教授在长期临床诊治中总结发现,多种肝病殊途同归,提出“补脾土,疏肝解郁”“逐湿邪,热无所依”“补先天,解毒袪邪”“调气血,瘀滞得化”“温脾阳,截断逆挽”的学术经验,临床应用效果显著。该文将从以上五法探析孙克伟教授辨证论治肝病经验,旨在为肝病中医诊疗提供参考和借鉴。

中草药栽培与鉴定专业实践教学体系优化研究

本文从师资力量、教学平台、教学体系和教学考核4个方面为切入点,研究了中草药栽培与鉴定专业实践教学模式现状。提出提升师资力量,打造教学平台,构建教学体系,以及建立考核评价机制等优化措施,并探索构建凸显中药特色“一核心、两阶段、三单元、四确保”的实践教学体系,阐述其体系优化改革的实践与思考。以全方位、多角度促进学生综合素质的提高,为中医药发展培养高素质复合型中药农业人才奠定基础。

基于高分辨质谱的中药学本科实验课程教学探索

中药制剂是由多种中药配伍组成的,是一个复杂的分子体系,其分析鉴定工作存在较大难度。高效液相色谱与高分辨质谱联用系统(HPLC-HRMS)在中药复方的定性研究中发挥着重要作用。本论文通过探索将高分辨液相色谱质谱联用系统应用到中药学本科生实验教学实践中,建立了对中药制剂参松养心胶囊中5种特征性成分进行鉴定的实验教学方法。使学生了解高分辨质谱在中药制剂分析和鉴定中的重要应用,开阔了本校中药学专业本科生的科研视野,提高了学生对仪器分析的理解,对培养高素质高水平的药学本科生起到了积极作用。

中西医结合桥梁课程思政素材库的构建与实践

为落实立德树人根本任务,以中西医结合桥梁课程为例,系统介绍课程思政素材库构建思路,围绕政治素养、职业素养、科学素养、道德素养、文化素养5个素养挖掘思政元素,构建中西医结合桥梁课程思政素材库,以发挥出课程的育人功能,为培养高素质的中西医结合人才打下坚实基础。

基于中红外光谱数据的中药材种类鉴别研究

不同种类的中药材在中红外光的照射下呈现出不同的光谱特性,因此可以基于光谱数据鉴别中药材种类。首先对数据进行平滑和去噪等预处理,其次借助主成分分析法对高维小样本数据进行降维处理并提取光谱的主要特征,之后利用K-means聚类算法对数据进行分类,最终将425个中药材样本分为5个大类。该方法分析成本低,可推广性强,是一种快速高效鉴别中药材种类的方法。

“中药鉴定学”亳州实习的几点思考

为了培养具有较强实践动手能力和科研创新能力的中药鉴定人才,针对学习中出现的知识点多、学习吃力、兴趣不高、内容烦琐等各种问题,通过教学改革,即加强理论教学,提升学生的学习兴趣,让学生喜欢中药鉴别;举办中药材讲解班,培养学生的学习能力和信心;引进中药故事,点燃学生学习的兴趣;积极投身教学标本和扩充药材标本馆,增强学生的学习信心;建设中药材网站,鼓励学生自主学习。通过教师和学生的结合,实现教学相长,让学生主动学习,为社会培养合格的人才。