Recently, a British start-up company said it had successfully developed a drug using artificial intelligence technology. It is reported that the drug developed with the aid of artificial intelligence is mainly used to treat obsessive-compulsive disorder, and will enter the clinical test stage next. It is worth mentioning that the drug is less than a year from concept to landing. For drug research and development, the speed is incredible.
With the rise of the new generation of information technology and the development of many high-tech fields, a series of cutting-edge technologies represented by artificial intelligence began to shine in various traditional fields, especially the integration of artificial intelligence and medical industry. The application of artificial intelligence technology will not only promote the intelligent upgrade of medical machinery, but also provide powerful help for the research and development of drugs.
The reason why AI technology is introduced into drug research and development is that the development of new drugs is a very long and inefficient work. According to relevant data, the average R & D cost of a new drug is as high as US $2.6 billion, but even after entering the clinical trial stage, only 12% of the drugs can finally be put on the market. Therefore, a lot of drug R & D funds are actually to be wasted.
Because of the waste of funds and the high cost of trial and error in the research and development process, pharmaceutical companies have an urgent need to improve the efficiency of new drug research and development and reduce the waste of funds. Now, more and more pharmaceutical companies choose to apply artificial intelligence technology in order to save the cost and time of testing, strive to shorten the R & D process, reduce the R & D cost, and improve the success rate of new drug R & D.
According to the survey data of professional institutions, the success rate of new drug research and development can be increased from 12% to 14% through the application of artificial intelligence technology. Don't underestimate the 2% increase, which means that pharmaceutical companies can save billions of dollars in high R & D investment and a lot of trial and error time. Similarly, it is also a great benefit for patients.
The positive value of artificial intelligence in new drug research and development has made the industry giants excited. Many pharmaceutical enterprises have joined the layout team of "artificial intelligence% 2B drugs". For example, Beijing Yingfei intelligent drug has developed a drug design AI research and development platform "intelligent drug brain"; the global health drug research and development center has created a high-throughput and high-precision artificial intelligence drug screening and calculation platform; Genentech, a Roche subsidiary, uses the AI system of GNSHealthcare to develop cancer drugs; Pfizer uses IBM to develop cancer drugs Watson system's machine learning technology to find tumor immunotherapy drugs
Experts are optimistic about the future of artificial intelligence in the pharmaceutical field. They believe that artificial intelligence can help pharmaceutical companies shorten the R & D cycle, control the R & D cost, and to some extent, curb the high drug price. For ordinary consumers, if the above situation can be achieved, it means that the cost of medicine will be reduced, which is a great happiness.
In fact, the application of artificial intelligence in the research and development of new drugs has existed for a long time. It is reported that since the development of computer technology, the first generation of artificial intelligence technology has been gradually used in drug research and development. Then, in recent years, the breakthrough of deep learning technology makes the rapid development of artificial intelligence technology, and its role in drug research and development is more prominent.
At present, the future situation of artificial intelligence in the pharmaceutical field is very positive, but it needs to go through a period of growth in order to achieve universal application and show greater value. Researchers say that AI is really useful in new drug research and development, and can help us find new molecules, but this result is not necessarily innovative, with a probability of overlapping with previously discovered molecules.
In addition, from the perspective of artificial intelligence technology itself, the development at this stage is not mature enough, and there is still a lot of room for upgrading. However, the improvement of laws and regulations and the construction of standards and norms system for the research and development of new artificial intelligence drugs are relatively lagging behind. If this key problem is not solved, it will have a bad impact on the follow-up development of "artificial intelligence% 2B pharmaceutical". Therefore, for the application of artificial intelligence in the field of new drug research and development, we need to maintain a rational view.