The accelerated arrival of the AI pharmaceutical era has helped pharmaceutical companies set off a wave of innovation

Pharmaceutical Network Market Analysis: The development of new drugs has always been a time-consuming and costly process, according to the Taft Center for Drug Development, a drug takes an average of 96.8 months from one stage to FDA approvaland according to another statistic, the cost of developing a new drug is now in the billions of dollarsbut with a huge investment, every new drug is not necessarily successfulin this context, based on big data, cloud computing to provide AI technology, because can make full use of existing medical resources, simplify the time spent by researchers in data analysis, large-scale literature screening and scientific overcalculation, to help scientific research institutions significantly shorten the vaccine research and development cycle, reduce the cost of pharmaceutical research and development and other advantages, began in recent years in the field of research and developmentit is understood that the current AI-plus drug research and development representative of the start-ups are Exscientia, CodeAI, Atomwise, Relay Therapeutics, Jingtai Technology and so onaccording to the existing start-up in the field of treatment layout, tumors accounted for more, and the field of nerves, and rare disease-related enterprises are also moreof course, in addition to the pharmaceutical sector, with the acceleration of the domestic digitalization process, these years AI technology and traditional equipment industry integration is also further accelerated, the market many pharmaceutical robots, AI temperature system and other artificial intelligence applications have begun to enter the public viewindustry believes that in this context, AI may become a new breakthrough to promote the high-quality development of the pharmaceutical equipment industry, whether it is for technological innovation, or management, institutions and other aspects of innovation will have a significant impactspecifically, artificial intelligence will promote technological change and optimization and upgrading of the pharmaceutical equipment industry, realize the fundamental change of pharmaceutical equipment industry model and enterprise pattern, and promote the pharmaceutical equipment industry to continue to move towards the middle and high level of the industrial value chainthe author learned that, in fact, at present, many pharmaceutical equipment companies are exploring artificial intelligence equipment, and active practice, for example, pharmaceutical equipment companies have upgraded their products with spray camera recognition early warning systems and equipped them with image video recognition technology to improve product pass rates and production safety on the basis of reducing user costsat the same time, the system can also monitor in advance the inlet atomization system abnormal, alert the operator, thereby lifting the risk of explosionand compressor manufacturers use the full digital traceability system and intelligent sensors, visual detection, automatic monitoring system, etc., to help pharmaceutical enterprises to improve the production quality control system, improve labor productivity of 30%, and further meet customer needshowever, it should be noted that although the concept of artificial intelligence is becoming more and more popular in the pharmaceutical equipment industry, but the concept has not fully penetrated into the industry, but in the initial understanding, exploration stageto control parameter technology as an example, at present, many domestic pharmaceutical equipment important parameters are actually manual control, in addition to the process verification closely related to the parameters can not be directly or indirectly collected, online cleaning, due to the imperfection of technology, but also often take a lot of timein general, although most of China's pharmaceutical equipment is still in the level of industry 3.0, in the field of artificial intelligence is still in the exploration, starting stage, in professionals, data, standards and other aspects are still immature, need to rely on the accumulation and monitoring of big data, on the basis of the automation of the pharmaceutical process, and gradually realize the digitization, intelligence and networking of informationbut in the long run, with the development of society and the progress of science and technology, artificial intelligence technology will certainly be in the field of pharmaceutical equipment in all aspects of the show, with more and more space for development