At the 2016 West Lake Forum on International Health Summit, guests from various fields such as Academician Jin Li, Ms. Ali Yun Li Hong and Mr. Li Tiantian from the Lilac Garden shared their views on medical treatment in the era of big data from different angles and proposed some The solution allows us to see a magnificent picture of people from different industries and backgrounds working together for the same goal.
Big data and precision medicine
Disease is the result of the combination of the internal factors of genes and the external factors of lifestyle. Precision medicine is based on genomics, through modern genetics, molecular imaging and bioinformatics methods to achieve accurate prevention, diagnosis and treatment. the goal of. Compared with traditional medicine, precision medicine can also detect genes and biomarkers, discover the relationship between mutation and disease, and then determine the clinical path.
![[Viewpoint] How do experts in various medical fields see big data + medical](http://i.bosscdn.com/blog/27%20(1).jpg)
Academician Jin Li
Precision medicine not only includes medical treatment, but also includes health. It is a source of innovation for the future, including health protection, people's benefit, scientific promotion and industrial driving. It has brought new driving force to China's scientific and technological innovation and health industry, and has become a must for developed countries. Strategic high ground for competition. The relationship between precision medicine and the concept of translational medicine is the goal of personalized medicine in the words of Academician He Lin, and precision medicine is the realization path of personalized medicine, which helps to reduce excessive medical care and reduce medical costs.
Medical big data features
1. The scale of the data is huge;
2. The data is growing rapidly;
3. Diversified data structures and multi-dimensional value density;
4. The data credibility requirements are high;
5. The data security society has a high degree of attention.
Medical big data has great value, especially in clinical auxiliary treatment and health management, so the country is vigorously promoting the application of medical big data. At the same time, it has become a new technology focus of international competition.
The combination of precision medicine and big data
In response to the combination of precision medicine and big data, the state has implemented a key research program for precision medicine, including five major tasks:
1. Technology development of a new generation of clinical life sciences;
2. Large-scale population cohort study;
3. Construction of resources integration, storage, utilization and sharing platform for precision medical big data;
4. Accurate research on disease prevention and treatment programs;
5. Construction of a precision medical integration application demonstration system.
Among them, the first three tasks are the basis of task 4. In Task 3, the most basic one is a biomedical big data management shared service support system and a standardized platform. The source is a large-scale precision medical database integrating clinical information and multi-level omics information, and the middle is divided into three parts, namely, biological Medical big data efficient mining and high-performance computing, biomedical big data processing key information technology and large-scale knowledge base for precision medicine for transformation applications. The key to the formation of precision medicine clinical application is to form a precise and operable diagnosis and treatment plan and diagnosis and treatment path. Therefore, task 4 is connected and closely integrated with the first three tasks.
The value of combining precision medicine with big data is to create a knowledge base that leverages the vast human understanding of disease and the experience of doctors, allowing doctors to directly target patients based on their specific genes and lifestyles through big data systems. For diagnosis and treatment, even a less than good doctor can serve the patient like the best doctor.
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