In order to improve R&D efficiency and reduce R&D investment, with the continuous development of science and technology in recent years, more and more enterprises and researchers have begun to apply artificial intelligence, big data, AI and other digital technologies to pharmaceutical R&D and production, trying to further improve the success rate of new drug research and development through artificial intelligence technology and AI algorithms, reduce R&D time and reduce manufacturing costs
.
In order to improve R&D and production efficiency, the pharmaceutical industry has become a trend of intelligence (Image source: Pharma.
com)
Recently, for example, it has been reported that Sanofi has added a layer of new technology to its upcoming "EVolutive" vaccine facilities in France and Singapore, which is using Dassault Systèmes' analog 3D space to optimize production
through the power of digital twins.
It is understood that Sanofi's Dassault Systèmes is a French software company, which said that Dassault's 3DEXPERIENCE platform creates a digital environment in which Sanofi will be able to "virtually experience the production system under development and its operation" to help establish processes
"before deployment.
"
On October 18, GSK announced an expanded three-year collaboration agreement with U.
S.
precision medicine company Tempus, under which GSK will have access to Tempus' artificial intelligence platform, including data
that identifies patients and their situations.
Through Tempus' AI and machine learning capabilities, GSK will work with Tempus to improve clinical trial design, accelerate enrollment, and identify drug targets
.
.
.
.
.
.
.
On the whole, it is not surprising
that the use of artificial intelligence and AI to accelerate innovation and research and development has long been in the pharmaceutical track.
Since 2022, dozens of domestic and foreign pharmaceutical companies have announced that they will cooperate with technology companies, artificial intelligence platforms, etc.
to accelerate the development of new drugs and optimize production
.
In this regard, industry analysts believe that the investment and layout of artificial intelligence has become an important part
of the competition of pharmaceutical companies.
In fact, with the continuous development of artificial intelligence technology and the increasing attention paid by pharmaceutical companies, artificial intelligence has been widely used in all stages of drug research and development, which is mainly concentrated in the two stages of drug discovery and clinical research, while diseases are mainly in the fields of
cancer, psychiatric and cardiovascular.
It is reported that the current rapid progress in AI drug research and development in China is Insilico Medicine's ISM001-055
.
ISM001-055 is a drug candidate discovered by the end-to-end AI drug discovery platform Pharma.
AI, a new small molecule inhibitor targeting a novel target developed for the treatment of idiopathic pulmonary fibrosis
.
The industry expects that in the future, with the continuous help of artificial intelligence technology and platforms, people are expected to halve the risks related to drug development and discovery, and related pharmaceutical companies will also usher in more new breakthroughs
in innovation.
In this regard, some insiders proposed that in addition to the pharmaceutical field, the integration of artificial intelligence and the pharmaceutical equipment industry will be further accelerated
.
At present, in fact, many enterprises are already using Internet technology, Internet of Things technology, automated logistics systems and other technologies to innovate and upgrade traditional craftsmanship, and promote the acceleration of high-quality development
of the industry.
For example, Dongfulong is promoting pharmaceutical industry 4.
0, the company uses digital software to plan the layout of the factory, design the production line, and carry out virtual planning simulation and optimization verification of the workshop process, so as to realize the optimization of the workshop layout, the optimization of material distribution, the optimization of the number of labor and equipment, save manufacturing costs, shorten the development cycle, and reduce the scrap rate
of product production.
Canaan Technology announced on September 21 that its subsidiary Tianjin Canaan intends to participate in the auction of the right
to use an industrial land in Tianjin for no more than 27 million yuan.
The land use right is mainly used as reserve land for biopharmaceutical system equipment industrialization projects or future new projects, and the configuration of production equipment with superior performance meets the needs of automation and intelligent production, which is of great strategic significance
for the company to improve and strengthen the layout of biopharmaceutical equipment.
In addition, as early as 2017, Chutian Technology spent 1.
1 billion yuan to acquire the world-famous pharmaceutical equipment enterprise ROMACO Group of Germany, and began to promote the research and development
of smart pharmaceutical factories.
Up to now, its intelligent central workshop and intelligent back-package workshop have been fully put into production
.
In general, in the context of continuous investment and layout of artificial intelligence by pharmaceutical companies, intelligent pharmaceutical equipment and smart factories will undoubtedly play an increasingly important role
in the pharmaceutical process.
In the future, as the country further maintains the stability of the robot industry chain and supply chain, accelerates the implementation of the "robot +" application action, and supports the digital transformation and intelligent upgrading of various industries, the digital, intelligent and information upgrading of the pharmaceutical industry will continue to accelerate, and at the same time, pharmaceutical equipment companies that have been deployed in intelligence may usher in more opportunities
.
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