The development of AI pharmacy is hot, how can pharmaceutical machine companies take advantage of this opportunity to take off?

【Chemical Machinery Equipment Network Market Analysis ] In recent years, under the background that the success rate of new drug research and development with complex links continues to decline, and the corresponding costs are increasing day by day, how to speed up the process of drug research and development and reduce research and development costs has become an urgent problem for major pharmaceutical companies to solve
.

Compared with traditional pharmaceutical methods, AI pharmaceuticals can screen new therapeutic targets and new drugs in massive data, and reduce the time and huge costs required for drug discovery
.
Therefore, in recent years, it is being accelerated to be applied to target discovery of drug discovery, virtual screening, compound design and synthesis, prediction of ADME-T properties and physicochemical properties, drug clinical trial design, management, patient recruitment, pharmacovigilance application and Real-world evidence generation
, etc.

 

The industry believes that with the wider application of AI, AI will play a more and more powerful role in the medical field in the future
.
At the same time, under the background that pharmaceutical companies and investors are highly optimistic about AI+pharmaceuticals and increase their layout, the pharmaceutical industry is also expected to accelerate to usher in the AI-driven "pharmaceutical 2.
0" era
.

 

　　It is worth noting that, in addition to the pharmaceutical field, with the acceleration of the domestic digitalization process, AI andThe integration of the pharmaceutical equipment industry is actually further accelerating
.
At present, more and more artificial intelligence devices have begun to appear on the market, including AI temperature measurement systems, automatic monitoring systems,
etc.
In this context, the industry believes that AI may become a new breakthrough in promoting the high-quality development of the pharmaceutical equipment industry, and will have a significant impact on equipment innovation and management
.

 

　　According to the author's understanding, many pharmaceutical equipment companies have begun to join the exploration of AI+ pharmaceutical equipment, and have carried out active practice
.
For example, some pharmaceutical equipment companies have upgraded the product's spray camera recognition and early warning system, and equipped them with image and video recognition technology.
On the basis of reducing user costs, they have also improved product qualification rates and production safety
.

 

　　andCompressor manufacturers use full digital traceability systems, smart sensors, visual inspection, and automatic monitoring systems to help pharmaceutical companies improve their production quality control systems and increase labor productivity by 30%
.

 

　　With the continuous deepening of "AI" in the pharmaceutical equipment industry, in order to solve the contradiction between high efficiency and traditional processes, many companies are focusing on promoting the "robots instead of manual" production mode, using Internet technology, Internet of Things technology, Automated logistics systems and other technologies break the traditional process
.
It is reported that in the workshop of a pharmaceutical equipment company, its sterile robot can automatically complete the unpacking and material transfer of prefilled syringes, and integrate film tearing, inner paper removal, filling, and stoppering
.
While greatly reducing the probability of drug contamination, the entire cycle of drug production is digitized and traceable throughout the process
.

 

　　In general, under the situation that the pharmaceutical business demand continues to increase, as well as the fierce competition in the pharmaceutical equipment industry and the high product overlap rate, the pharmaceutical equipment industry is using AI to further promote the technological transformation and optimization and upgrading of the entire industry, and at the same time promote the continuous development of the pharmaceutical equipment industry.
Towards the middle and high level of the industrial value chain
.
However, it is worth noting that China is still in its infancy in the field of artificial intelligence, and it is still immature in terms of professionals, data, and standards
.
Therefore, in the future, while relying on AI development, it is also necessary to combine the accumulation and monitoring of big data, and continue to accelerate innovation and R&D under the in-depth understanding of customer needs
.

 

　　Original title: AI pharmaceutical development is hot, how can pharmaceutical machine companies take advantage of this opportunity to take off?