综合一区欧美国产,99国产麻豆免费精品,九九精品黄色录像,亚洲激情青青草,久久亚洲熟妇熟,中文字幕av在线播放,国产一区二区卡,九九久久国产精品,久久精品视频免费

USEUROPEAFRICAASIA 中文雙語Fran?ais
China
Home / China / Top Stories

Big data could aid research into TCM

By David Blair | China Daily Europe | Updated: 2017-11-12 15:29

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

 Big data could aid research into TCM

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

Editor's picks
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
辉县市| 襄城县| 高台县| 东安县| 山东| 呼玛县| 浦城县| 东辽县| 和田县| 梁河县| 洛宁县| 高邑县| 衡阳县| 田阳县| 上饶市| 历史| 府谷县| 承德市| 宁安市| 蒙城县| 乌拉特中旗| 湛江市| 马尔康县| 宁城县| 手游| 宁晋县| 双辽市| 渭源县| 旬邑县| 新蔡县| 延吉市| 兰西县| 甘德县| 修水县| 富平县| 尖扎县| 山西省| 弥渡县| 运城市| 隆林| 乐山市|