On November 1st, at the first China Zhigu Conference Artificial Intelligence and Industry Innovation Summit hosted by Xinhuanet and Nanjing Economic and Information Technology Committee, bioinformatics and academician Chen Runsheng of the Chinese Academy of Sciences made a speech entitled "Big Data and Speech by Precision Medicine. Academician Chen Runsheng believes that the application of technologies such as artificial intelligence and big data to the medical field will promote the development of precision medicine, and take targeted measures before the disease occurs, thus changing the concept of medical health. At the same time, artificial intelligence and big data also play a key role in studying 97% of the "dark matter information" that we do not understand in our genetic information. Overall, precision medicine is just on the road, and there are still many opportunities. The following is the full text of the speech by Academician Chen Runsheng. The author made an editor who did not change his original intention on the basis of on-site record: Dear experts and leaders, I am very honored to participate in this meeting. I think today I will talk about big data and precision medicine, because now everyone knows that precision medicine is very hot, although it is still younger than artificial intelligence. We know that on January 20, 2005, US President Barack Obama was conducting research on precision medicine in the United States he published. Since then, precision medicine has received universal attention in the world. In many developed countries, including our country, not only everyone. In an area that is of great concern, our national leaders have repeatedly pointed out important instructions for the development of precision medicine, and they also have concrete manifestations in funding. So today I mainly talk about four aspects of precision medicine. One is to communicate with you and I hope to start some discussions. Academician Chen Runsheng of the Chinese Academy of Sciences 1. Precision medicine is the combination of big data and clinical medicine The first question, what is the nature of precision medicine, what is the core? I have seen various comments in China. I have discussed various aspects of precision medicine. I think that the core of precision medicine is actually a little bit. It is very clear that it is the combination of big data and medicine. To be more specific, it is the combination of group big data and clinical medicine. In other words, the use of group big data in clinical medicine to improve the accuracy of medical diagnosis and improve the effectiveness of treatment. This includes two meanings, one meaning big data for group learning, and the other meaning is medicine. Then the big data of the group also includes two meanings, one is omics and the other is big data. We know that in recent years, with the development of clinical research, we have obtained more and more human information at the molecular level represented by the genome. This is unprecedented before. Then, with the development of omics data represented by genomes, people are accumulating more and more information about genetic codes, not only genes, but also protein information. Later, people discovered that mining these The information will get a lot of information reflecting human health and disease in the future. Therefore, it has been suggested that if this information is applied to the clinic, it will definitely improve the clinical effect. This is the essential meaning of precision medicine. However, it is not enough to obtain only the information of these genetic codes. As we all know, all the genetic code information is very much a big data. This big data is very easy to measure, including we now know that in our country, everyone can get your inheritance by spending 10,000 yuan. Password, but you don't understand your genetic code, because there are only four words (A, C, G, T), so to understand him, you need to develop the theoretical methods and techniques of big data analysis. . Therefore, to use these omics data in large clinical practice, it must be a combination of omics data and big data analysis methods. So part of it is group big data, part is medicine, and the two combine to form the essence and core of precision medicine now. This is the first question. Regarding the essence of precision medicine, he also used the clinical data from the 1990s in the 1990s, and the development turned into translational medicine, individualized medicine. Now there is the name of precision medicine from 2011, but in any case, It is his essence that is clear, that is, the application of group big data in clinical medicine. Hydroxylamine Hydrochloride CAS No.5470-11-1 Hydroxylamine Hydrochloride Basic Information
Hydroxylamine Hydrochloride Application
[Use 1] Hydroxylamine Hcl,Hydroxylamine Hydrochloride Cas 5470-11-1,Hydroxylamine Hydrochloride Molecular Weight,Hydroxylamine Hydrochloride Formula,Hydroxylamine Hcl,Hydroxylamine Hydrochloride Uses Shandong YingLang Chemical Co.,Ltd , https://www.sdylhgtrade.com.jpg)
CAS: 5470-11-1
MF: NH2OH·HCl
MW: 69.49
EINECS: 226-798-2
Used as an analytical reagent and reducing agent, as well as for organic synthesis and color film printing
[Use 2]
Used as a raw material for Pharmaceuticals and organic synthesis, as a reducing agent and imaging agent, etc.
[Use three]
Hydroxylamine hydrochloride is an intermediate of guanidinium carbamate insecticides such as methomyl, aldicarb, thiodicarb, and the like, and is also a raw material for preparing 2,6-dichlorobenzonitrile, o-chlorobenzoquinone, and the like. .
In medicine, it is used to produce sulfamethoxazole, danazol, ethinyl estradiol, norethisterone, methyltestosterone, hydroxyurea, and chlordiazepoxide. A synthetic raw material for anticancer drugs (hydroxyurea) and sulfa drugs.
[Use four]
In the organic synthesis industry, as a reducing agent, hydrazines are prepared.
Dyeing blush intermediate.
It is also used as an Antioxidant in fatty acids and soaps.
[Use five]
Used in the synthetic rubber industry as a short-term discontinuity agent that is not colored.
Analytical chemistry for the examination of aldehydes and ketone organic compounds and microanalysis of sulfonic acids,
Used as a depolarizer in electroanalysis.
Also used in the production of dyes.