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    Home > Medical News > Latest Medical News > Full interpretation! What should be considered when developing a drug?

    Full interpretation! What should be considered when developing a drug?

    • Last Update: 2020-08-14
    • Source: Internet
    • Author: User
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    Guide: Medicine intelligence tour Taizhou station successfully held! "Pharmaceutical intelligence network is the domestic early medical data to carry out in-depth processing, mining, analysis and utilization of pharmaceutical big data service providers, with drug research and development, production inspection, rational drug use, market information and other sectors more than 100 databases, hope that through today's exchanges, the park enterprise pharmaceutical project development has a role in promoting.
    ", said Dr. Kong, of the China Medical City Public Platform Service Center. On the afternoon of August 6,
    , the Pharmaceutical Intelligence Tour Salon, co-sponsored by the Public Platform Service Center of China Pharmaceutical City and The Pharmaceutical Intelligence Network, was successfully held in Taizhou on the theme of "The Application of Big Data in the field of pharmaceutical research and development".
    an issue - Big Data Salon is full of people, unprecedented, experts and scholars gathered to discuss the application of big data in the field of pharmaceutical research and development.
    at present, under the dual policy of tape procurement and generic drug consistency evaluation, the field of drug research and development is facing new development problems, which profoundly affects all aspects of enterprise decision-making, how to occupy the market first in the new situation, to achieve corner overtaking, is a topic of concern to everyone.
    conference site two bright spots - Ming direction this medicine tour salon, compared to the previous period, there are two bright spots.
    is to use big data, improve the efficiency of pharmaceutical research and development, the use of examples for the scene guests to show the role of big data in the actual battle;
    the people present have gained a lot of applause and applause.
    three experts - the high-level meeting, the organizers specially invited three reporting experts, representatives of more than 20 enterprises, nearly a hundred participants to participate in the foresight of the exchange of ideas and collision, jointly discuss how big data in the field of medicine, showing a display of results, exchange of ideas, work together and seek common development of the event.
    first, Dr. Liu Zhongwei, Vice President of Chongqing Kangzhou Big Data Co., Ltd., gave a lecture on the theme of "Big Data's Decision Support role in pharmaceutical projects".
    Dr. Liu has the work experience of the whole industrial chain of biomedicine and overseas study and work background, has served as the director of the Technology Transfer Center of Nanjing University, has a wealth of experience in the field of biomedicine research, project project and product pipeline valuation, international technical cooperation and other directions.
    , Dr. Liu Zhongwei, vice president of Chongqing Kangzhou Big Data Co., Ltd., said in a speech that big data and its technology are popular in various industries, especially in the pharmaceutical sector.
    Before big data technology matured, drug research and testing was a complex and huge project that took a long time, slow returns and great risks.
    it can be said that any pharmaceutical company has to go through thousands or even tens of thousands of trials and a large number of drug candidates before it goes to market.
    big data will be decisive for pharmaceutical initiatives.
    followed by Zhang Ying, academic director and senior lecturer of The Pharmaceutical Intelligence Network, gave a lecture on the theme of "The Application of Big Data in the Field of Pharmaceutical Research and Development".
    Director Zhang has served in the marketing department of Stone Pharmaceutical Group, Doptai Pharmaceutical Medicine, Shiran Pharmaceutical Marketing Department, has extensive experience in product management and market planning/analysis. Zhang Ying, academic director and senior lecturer of the
    Pharmaceutical Intelligence Network, said that in the Internet era, it has become the consensus of pharmaceutical companies to improve drug research and development with big data applications and accelerate the process of drug research and development, in order to expand the data analysis methods of pharmaceutical companies, improve the application of big data in the field of pharmaceutical research and development, and help pharmaceutical companies shorten the time of drug research and development, improve the efficiency of research and development.
    finally, Ms. Xu Jianhua, Marketing Director of Pharmaceutical Intelligence Consulting, gave a speech on the theme of "Screening and Scientific Analysis of Pharmaceutical Projects".
    she has served as the head of the intelligence department of a state-owned enterprise, responsible for dozens of project sorority research work, has a wealth of intelligence analysis and project management experience.
    " big data makes the screening process easier and safer, and is an efficient and cost-effective technology for drug analysis.
    ," she said. Xu Jianhua, marketing director of
    Pharmaceutical Intelligence Consulting, also conducted a raffle on the spot, drawing 10 lucky guests and giving a book on "40 Years of Big Data in Chinese Pharmaceutical Research and Development".
    the award-winning guest photo after the meeting, the leadership of China Medical City Park said that this kind of training in the future to be long-term, sustained development, the park will also strengthen the call to enterprises, promote the use and development of medical information technology in the park enterprises! At the same time, participants have also said that through this meeting, the establishment of enterprise exchange platform, promote the industry chain of all links of communication and interaction, to the core big data to promote technological innovation, industrial layout;
    .
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