男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
Global EditionASIA 中文雙語Fran?ais
Europe

Big data could aid research into TCM

By David Blair | China Daily Europe | Updated: 2017-11-10 08:42
Share
Share - WeChat

Technology can offer a better understanding of the complexities of traditional preparations and how they work

When the human genome was first decoded in the year 2000, scientists expected rapid progress in figuring out how genes affect human characteristics and disease. But that has taken longer than anticipated.

The problem is that most diseases are caused by the interactions of a large number of genes, not just by one or two individual genes.

Classical statistical analysis is used to find correlations between just a few factors. Additionally, it requires researchers to build models based on prior views of what is important.

But big data sets and the techniques used to analyze them are able to find much more complicated patterns that might not have been thought of by the researchers. So since big data has become available, scientists have made much more rapid progress in genomic analysis.

Jay Siegel, dean of the Health Science Platform at Tianjin University, points out that traditional Chinese medicine also depends on complex inputs and, therefore, can benefit from big data analysis.

"TCM looks at the whole system, as opposed to Western medicine, which is more reductionist and focuses on one or a few effective elements," he says. "One of the problems when you have small data sets and when you use classical statistics is that you need a model that is relatively elementary in order to get statistically significant results. But when you have huge amounts of data and you can process this in a much more sophisticated way, you can start looking at analysis of entire complex systems.

"I think modern big data analysis is going to lead to a much better understanding of where and when and why some TCM preparations are effective and others are not. I think that is going to lead us to a new understanding of this balanced health where you can take advantage of nutrition and your daily behavior, but you can also take advantage of things that don't have to be reduced down to a single element," he says.

"In TCM, there are these very complex ways of preparing groups of herbs, called pao zhi. You can't really easily say that one component in a plant is the active ingredient."

"Western medicine tries to pull out one molecule. Maybe mix it with another molecule to discover new therapies. In TCM, there are mixed quantities of these herbs, changes in the way you prepare them, changes in the season you collect them. So you have a very complex system which is not going to lend itself to just being simplified into one pure substance. TCM is a synergistic, complex system and we need to find ways to study that."

"Big data is going to help. Having more data is going to allow us to analyze a more complex model, and that more complex model is going to give us a better understanding of how and why these things work," he says.

davidblair@chinadaily.com.cn

 

Jay Siegel (right), dean of the Health Science Platform at Tianjin University, instructs his students at the university. He says he aims to help the students find a balance between developing skills and creative thinking. Provided to China Daily

(China Daily European Weekly 11/10/2017 page7)

Today's Top News

Editor's picks

Most Viewed

Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
主站蜘蛛池模板: 桑植县| 临武县| 乌鲁木齐县| 化德县| 思南县| 许昌县| 如皋市| 叶城县| 江油市| 襄樊市| 乌鲁木齐县| 剑河县| 临洮县| 麻阳| 于田县| 定结县| 临高县| 济阳县| 清涧县| 巫溪县| 钦州市| 天全县| 昭苏县| 京山县| 阿勒泰市| 兰坪| 翁牛特旗| 株洲市| 南充市| 个旧市| 钦州市| 深水埗区| 汉源县| 长宁县| 阿坝县| 永和县| 澎湖县| 全椒县| 彰化县| 新宁县| 辽源市| 大关县| 册亨县| 滨海县| 开化县| 原平市| 卢氏县| 合肥市| 安化县| 惠水县| 贵南县| 林周县| 泗阳县| 大厂| 垦利县| 四平市| 察隅县| 繁峙县| 饶阳县| 阳东县| 鹤山市| 广德县| 石渠县| 桃园县| 宜君县| 喀什市| 磴口县| 常熟市| 大庆市| 吴川市| 和硕县| 绵竹市| 潞城市| 陇西县| 克东县| 新野县| 吴桥县| 双城市| 黄山市| 屏东县| 元朗区| 衡南县|