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"in recent years, we have seen the emergence of various new technologies, and the number of clinical trial registrations has increased linearly, but the success rate of clinical trials every year has remained at a certain level. this enlightens us that when making medicines, we must return to medicines. the essence: safe and effective. "technology is just a means." artificial intelligence plays an increasingly important role in drug discovery, and it can promote the drug development process from multiple angles.

data turns into knowledge, providing new ideas for drug research and development

first, ai can transform massive data into valuable information, helping scientists more fully understand the mechanism of action of drugs. for example, in the past, researchers mainly focused on the effectiveness and side effects of drug candidates, while ignoring drug targets and mechanisms. now, ai technology can use a large amount of medical literature and biological data to build a drug target database, helping researchers discover new drug targets faster and more accurately.

knowledge graph provides direction for new drug research and development

secondly, ai can build a knowledge graph based on a large number of existing research results and data. for example, li honglin's team built the largest biomedical knowledge graph by analyzing a large number of medical literature, providing a new direction for drug research and development. this not only helps scientists quickly understand the mechanism of drug action, but also provides a basis for the development of new drugs and reduces the development cycle.

technical means help precision drug research and development

finally, the application of ai will make the drug research and development process more precise and efficient. for example, ai can predict the effects of drugs based on large amounts of data and optimize drug development plans, thereby shortening development time and costs.

embrace new technologies and return to the essence of medicine

in the drug research and development process, technical means play an important role. however, we should not forget the core values ​​of medicine: safety and effectiveness. the development of ai technology has brought new possibilities to drug research and development, but it also needs to be treated with caution.

all in all, the application of artificial intelligence technology is changing the way drug research and development is done, converting data into knowledge and assisting the drug discovery process. it can help scientists discover new targets faster and more accurately, and optimize drug research and development plans, ultimately improving drug research and development efficiency, reducing drug research and development costs, and bringing better medical services to patients.