<tt id="6hsgl"><pre id="6hsgl"><pre id="6hsgl"></pre></pre></tt>
          <nav id="6hsgl"><th id="6hsgl"></th></nav>
          国产免费网站看v片元遮挡,一亚洲一区二区中文字幕,波多野结衣一区二区免费视频,天天色综网,久久综合给合久久狠狠狠,男人的天堂av一二三区,午夜福利看片在线观看,亚洲中文字幕在线无码一区二区
          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
          主站蜘蛛池模板: 精品国产一国产二国产三| 蜜桃无码一区二区三区| 欧美成人午夜在线观看视频| 久久人妻国产精品| 国产成人精品无人区一区| 亚洲人成色99999在线观看| 性奴sm虐辱暴力视频网站 | 四虎成人精品无码永久在线| 一区二区不卡99精品日韩| 嫩草研究院久久久精品| 91娇喘视频| 麻豆国产精品VA在线观看| 国产免费播放一区二区三区| 国产伦精区二区三区视频| 日韩精品有码中文字幕| 欧美精品一区二区三区中文字幕| 亚洲激情一区二区三区在线| 狠狠噜天天噜日日噜无码| 欧美偷窥清纯综合图区| 亚洲欧洲一区二区天堂久久| 日韩不卡二区三区三区四区| 亚洲区小说区图片区qvod| 精品91在线| 香蕉久久久久久久av网站| 亚洲成人网在线观看| 午夜AAAAA级岛国福利在线| 亚洲色中色| 久久久久久久久久国产精品| 亚洲精品第一在线观看视频 | 九九re线精品视频在线观看视频 | 欧洲尺码日本尺码专线美国又| 亚洲最新版无码AV| 人妻系列av无码专区| 亚洲国产精品成人综合色在| 国产精品激情av在线播放| 国产高清一区二区不卡| 日本人成精品视频在线| 久久精品国产主播一区二区 | 国内精品无码一区二区三区| 欧美日韩久久中文字幕| 日本少妇被黑人猛cao|