ABSTRACT
In the era of artificial intelligence based on big data， data acquisition， storage and processing are more convenient， which provides a guarantee for accelerating the development of traditional Chinese medicine （TCM）， but it has not yet achieved organic integration with TCM theory. Based on preliminary research on the supramolecular "Qi chromatography" theory of TCM， combined with the current development trend of artificial intelligence， this paper analyzed the biological intelligence attribute of the function of TCM supramolecular "imprinting template"， in order to provide reference for the development of TCM drug innovation. Both the human body and Chinese materia medica are giant complex supramolecular bodies evolved from natural organisms. According to the "imprinting template"， the "social molecules" are controlled step by step to form the meridians and viscera. The interaction produces the original theory of TCM， in which the self-recognition， self-assembly， self-organization and self-replication of the "imprinting template" reflect the "intelligence" function attributes：the human body uses the "imprinting template" to self-identify and sense the ingredients of TCM， and store the memory information database in the meridian and collateral organs in the form of "imprinting template"， and then pass the "imprinting template". The comparison， analysis， and judgment of imprinting templates guide the self-assembly， self-organization and self-replication among "molecular society"， synthesize biological machines， produce biological functions， repair or strengthen biological supramolecular bodies， and present the most basic "intelligence" attribute. This suggests that the theory of theory-method-prescription-medicine of TCM is the weak embodiment of biological "intelligence"， while the human brain function is the strong embodiment of biological "intelligence". Since the intelligent function of supramolecular "imprinting template" runs through the natural world， artificial intelligence that can characterize the strong "intelligence" form of the human brain will also be integrated into all aspects of the natural world， suggesting the development direction of "intelligence" functionalization of drug innovation mode.
ABSTRACT
The paper analyzes the opportunities and challenges for medical education in the big data era,puts forward the wisdom way of thinking,teaching mode,examination mode,etc.of wisdom education,and explores and analyzes the big data about the learning conditions of students through the data mining technology,in order to truly achieve the teaching concept of students development oriented and individualized teaching.
ABSTRACT
Objective Strengthen the standardization,scientific and informatization-based developement of scientific research management in big data era.Methods Comprehensively applying the methodologies of literature analysis,survey investigation and system analysis to analyze the impact of big data on scientific research,identify existing problems in hospital scientific research management,study on the application of big data in the hospital scientific research management.Results Proposed some countermeasures to improve the level of hospital scientific research management.Details inclu ding construction and improvement of the hospital scientific research management data sharing platform,integration of Internet data resources and external data resources,building high-quality scientific research management teams qulaified for big data era,adopting overall planning and the construction strategy of step-by-step implementation,establishing a policy environment and social environment conducive to the application of big data,changing the concept of medical staff and promoting the application of big data.Conclusions The innovation of hospital scientific research management in big data era can push forward the reform of scientific research management and promote the development of medi cal scientific research management.
ABSTRACT
Bioinformatics is an intercross field of biology and computer science. With the develop-ment of computer network information technology and"precision medical care", biomedical field ushered in the era of big data. The demand for bioinformatics knowledge to medical students has shifted from single gene level to the analysis on massive medical data. This paper analyzed the characteristics of the big data era, as well as the problems of the teaching idea, curriculum coverage and teaching platform could not meet the requirements of the new era in teaching of bioinformatics course for medical students. Finally, we pro-posed several measures to strengthen the reform of bioinformatics teaching to meet the challenge of the big data era, including optimizing courses, changing educational philosophy, introducing new teaching methods, and setting up teaching platform with times.
ABSTRACT
Glaucoma is a common blinding eye disease mainly characterized by optic nerve damage.Lowing intraocular pressure is still the main managing method of glaucoma up to now.However,although the intraocular pressure is reasonably controlled,optic nerve damage is difficult to recovery and sustainable development in some patients.Therefore,the pathogenesis and prevention and treatment of glaucoma have always been the hot spot of the research of glaucoma in recent years.Even though the big progresses have been made in the experimental research of optical nerve injury and repair,little good evidence has been seen in the clinical management of glaucoma neuroprotection.In recent years,genomics study,stem cells study,molecular biological study,electronic technology application in medical research,especially the rise of big data era laid a good basis for the neuroprotection of glaucoma.Ophthalmologists should focus on new insights into the potential and beyond impact factors in the precise individual therapy of glaucoma neuroprotection.
ABSTRACT
The contents and methods of library reference service have changed due to the changing views of people on the value of data and the way of thinking and the influence of big data thinking in the era of big data, libraries should thus innovate in their reference service with new ideas, new orientations and new methods.