PPS click the blue word to pay attention to us
Professor, doctoral supervisor of pharmaceutical chemistry, famous teacher of Jiangsu Province, vice president of China Pharmaceutical University. Currently, he is the vice chairman of the national pharmaceutical Postgraduate Education Steering Committee, the communication evaluation expert of the Ministry of life sciences of the national foundation of China, the undergraduate teaching evaluation expert of the Ministry of education, the member of the academic degree committee of Jiangsu Province, the director of Jiangsu chemical society, the member of the organic chemistry Professional Committee and other academic positions. Executive editor of pharmaceutical progress, editorial board member of Journal of China Pharmaceutical University. Main research fields: molecular design and synthesis of new drugs, computer-aided drug design, organic synthetic chemistry, drug biostatistics and computational pharmacy. Presided over and completed a number of national, provincial and ministerial projects. At present, the research group is working on 10 National Natural Science Foundation, independent intellectual property rights of clinical candidate compounds against acute myeloid leukemia (AML), and completed the transformation of original scientific and technological achievements represented by fn-1501. It has obtained FDA's "breakthrough" qualification to enter the accelerated approval channel, clinical trial license and orphan drug qualification certification. At present, fn-1501, as a drug for AML treatment, has been approved by FDA of the United States, Australia and nmpa of China to enter phase I clinical research, which is expected to make up for the drug blank of AML treatment in China, provide new options for rational drug use and clinical trial scheme design, promote the innovation and development of the pharmaceutical industry, and produce obvious social and economic effects. So far, 16 doctoral students and 90 master's students have been trained, and more than 100 SCI papers have been published, and 9 patents have been authorized at home and abroad. Among them, the research and development process and process research of two representative drugs have been published in well-known drug research journals such as jme.chem, angel Chem int edit and org lett, providing important scientific and technological support for the research and development of small molecule innovative drugs.
text
The application of artificial intelligence in the field of Medicine
In recent years, with the development of computing power and the generation and accumulation of massive data, artificial intelligence (AI) technology has developed rapidly, especially in image recognition, voice interaction, cognitive computing and other aspects of technology gradually mature, and its integration with the field of medical health continues to deepen. There are more and more application scenarios of artificial intelligence in the field of medicine, such as intelligent recognition of medical image by means of computer vision technology and image recognition; intelligent diagnosis and treatment by means of voice case input through natural language processing and voice recognition; intelligent medical robot by means of robot technology; big data analysis and intelligent terminal technology used in medical big health Management; using machine learning and deep learning technology to help drug research and development. At present, artificial intelligence technology has gradually become one of the important factors affecting the development of pharmaceutical industry.
The application of artificial intelligence in the field of Medicine
Artificial intelligence is a subject to simulate and expand the application of human intelligence. It makes machines intelligent by means of technology, so as to complete some work that requires high intelligence and even cannot be implemented by human beings in the past. Since the concept of artificial intelligence was first put forward in 1956, it has gone through more than 60 years of development, and the progress is not smooth. With the rapid development of computer technology and market demand, artificial intelligence has once again entered the public's vision in recent years and become one of the focuses and hot spots. Various industry giants have laid out plans to apply artificial intelligence to their own scientific fields. The reason why artificial intelligence can be changed from theoretical research to practical application is closely related to the explosive growth of big data, the great improvement of computer performance and the rapid development of various intelligent algorithms. In artificial intelligence technology, computer vision, natural language processing, voice processing, artificial neural network and other aspects of the research are relatively mature and occupy a large proportion of the research area at present, and are also the main methods for various industries to learn and use.
The field of medicine has always been the focus of the country, region and the people. With the rapid development of the medical field, the demand for medical services is surging, and the data information of the medical industry is also growing explosively, with obvious big data characteristics, which lays a good data foundation for the application of artificial intelligence. On the other hand, medical big data also needs artificial intelligence to assist in order to better serve the public from all aspects. At present, the application of artificial intelligence in the field of medicine mainly focuses on the following aspects: firstly, computer vision technology is applied to medical image diagnosis, so as to carry out rapid film reading and intelligent diagnosis of medical image. Computer vision mainly includes image recognition, image detection, image understanding and other technologies. Through the analysis of medical image data, the specific abnormal structure can be identified and marked quickly and accurately for the reference of doctors in related departments, to improve the diagnosis efficiency, and to alleviate the supply gap of radiologists. Secondly, with the development of medical information, electronic medical record has become an indispensable part of current medical diagnosis. It can not only realize the electronic interaction between doctors and patients and the development of the disease, but also provide a large number of electronic resources that can be obtained quickly for the research of the whole disease, and provide important evidence-based basis for the research of the disease. Speech recognition, natural language processing and other technologies provide great convenience for doctors to write medical records and ordinary users to guide in hospital. It can be said that it is an artificial intelligence virtual assistant for doctors and patients. Moreover, the development of robotics technology has provided a strong support for the research of intelligent medical robots, including clinical medicine, nursing, medical teaching and the service for the disabled. Among them, especially the surgical robot, because of its wider vision, more accurate operation, more conducive to wound healing, reduce the wound surface and blood loss, reduce pain, etc., has become a "high demand product" in the field of robotics. Surgical robot can also alleviate the tension and overwork in the growing period of traditional Chinese surgery, and it is gradually recognized and applied in all stages of diagnosis and treatment. In addition, all kinds of wearable devices based on data analysis and intelligent terminal technology are widely used in medical health management. Finally, a key issue in the field of medicine is drug research and development. However, the R & D of new drugs often has three high risks: high cost, long R & D cycle and low success rate. How to speed up the research and development of new drugs and reduce the cost of research and development has become an urgent problem for pharmaceutical companies and academic research institutions. Now, the accumulated data of drug research and development is growing rapidly, and the digital transformation of drug research and development field is accelerating, which promotes the application of artificial intelligence in drug research and development field. At present, artificial intelligence has been applied in all stages of drug research and development, including drug target recognition, candidate drug screening, drug design and optimization, drug synthesis, pharmacokinetic property prediction, pathophysiology research and development of new indications. Among them, drug screening based on artificial intelligence makes the new use of old drugs reach a new height, and becomes one of the most popular areas of drug research and development. At the same time, the design and screening of small molecule drugs still occupy the main position. At present, major pharmaceutical companies at home and abroad have been deployed. Since 2017, international pharmaceutical giants, including Merck, Novartis, Roche, Pfizer, Johnson & Johnson, have deployed self-developed artificial intelligence systems to improve the efficiency of new drug research and development. Domestic pharmaceutical companies such as Jiangsu Haosen and Zhengda Tianqing also actively strengthen close cooperation with AI companies such as atomwise and Alibaba cloud, aiming to improve the efficiency and success rate of drug discovery and development, so as to reduce the cost of research and development.
2 comments on this issue
In this issue, "the application of artificial intelligence in the field of medicine", a number of domestic first-line related experts were invited to conduct in-depth analysis and review of the application of artificial intelligence in various directions of medicine, especially in the process of drug research and development. Among them, Ouyang Defang, assistant professor of the Chinese Medical Research Institute of the University of Macau, etc. used the method of big data analysis to analyze the data of 136142 pharmaceutical literatures published in 1980-2019 and 38117 FDA approved drugs, and analyzed the global pharmaceutical academic and industrial development from the perspectives of global change trend, cooperation network, research hotspot, product approval, etc The present situation provides a new way for the future research direction of pharmaceutics and the transformation of scientific research achievements in China. It also points out the gap between scientific research and industry in the transformation of achievements, which can be used for reference in the follow-up pharmaceutical research.
Liao Jun, associate professor of China Pharmaceutical University, summed up the research of deep learning in named entity recognition in the field of medicine. In recent years, with the extensive application of deep learning in the field of text processing, named entity recognition, as a branch of natural language processing, plays an important role in knowledge base construction, information extraction and other tasks. Aiming at the application of named entity recognition in medical text, this paper introduces the current mainstream research methods and main data sources of named entity recognition, summarizes the application of deep learning in Chinese and English medical field named entity recognition, highlights the advantages of deep learning in the application of medical field entity recognition, and provides reference for related research in this field.
Drug repositioning, also known as "old drug new use", is a drug research and development method that applies the existing treatment methods to the process of new diseases, and is one of the hot spots in drug research and development at present. Dr. Tian Geng, emeritus professor of Hunan University of technology and chief scientist of metacode gene, reviewed the algorithms of drug relocation based on machine learning and big data mining, and introduced the research progress of drug relocation based on machine learning and big data mining. This paper focuses on the review of three kinds of drug and compound repositioning algorithms based on feature, matrix decomposition and network, summarizes the advantages and disadvantages of these methods, and analyzes the development direction of drug repositioning methods in the future.
Professor Chen Yadong from China Pharmaceutical University and other experts focused on the application and challenges of artificial intelligence in drug discovery. New drug research and development has the characteristics of long cycle, high cost and low success rate. As a hot direction in drug research and development, artificial intelligence has been applied to all stages of drug research and development. In this paper, the application of artificial intelligence in drug discovery is introduced firstly; then the algorithms involved in artificial intelligence including machine learning and deep learning are described in detail; then the application of artificial intelligence in drug discovery includes drug target recognition, active compound screening, compound property prediction, protein structure prediction and protein ligand interaction, molecular biology Cheng and other aspects were introduced. Finally, the opportunities and challenges of artificial intelligence in drug discovery are discussed to provide new ideas for drug researchers.
3 outlook
At present, with the continuous progress of artificial intelligence, big data, cloud computing and other technologies, more and more attention has been paid to artificial intelligence technology in the field of medicine, which enables the rapid application of artificial intelligence technology in the field of medicine. The performance of artificial intelligence in scientific research and industrial development in the field of medicine is remarkable, which is of great significance to the development of Chinese medicine. However, its landing still faces many problems, not only technical problems, but also social and ethical problems. For example, due to the low level of informatization, many hospitals