生物医学大数据分析与疾病预警天元数学交流项目

健康中国已被列为国家重大战略目标，实现该目标的关键问题就是对健康状态进行定量刻划并实现疾病预警。人类健康状态的定量刻划和疾病预警都离不开包含有重要健康状态信息的基因测序和生物分子表达组学等数据，这些数据从动态和系统层面表征了个体的健康状态，对健康状态评估和疾病预防将发挥重要作用。如何从海量数据中挖掘信息、发现规律、探索潜在价值，数学是其坚实的理论基础，在数据处理、数据挖掘、评判分析等等过程中，数学方法扮演着至关重要的角色。要发展生物医学大数据的研究和应用，必然要重视数学在其中发挥的作用，重视数学方法的创新与发展。本次会议以“生物医学大数据分析与疾病预警”为主题，旨在搭建交流合作平台，促进数学、大数据和生物医学领域专家学者交流最新研究进展，共同探讨目前亟待解决的热点问题，解决实际问题的同时推进数学理论及其应用的发展。

Healthy China has been listed as a major national strategic goal. The key to achieve this goal is to quantitatively describe the health status and realize disease early warning. Quantitative characterization of human health status and disease warning are inseparable from data such as gene sequencing and biomolecular expression histology, which contain important health status information. These data represent individual health status dynamically and systematically, and will play an important role in health status assessment and disease prevention. Mathematics is the solid theoretical foundation of how to mine information, discover rules and explore potential value from massive data. Mathematical methods play a vital role in data processing, data mining, evaluation and analysis, etc. In order to develop the research and application of biomedical big data, it is necessary to attach importance to the role of mathematics in it and to the innovation and development of mathematical methods. With the theme of "Biomedical Big Data Analysis and Disease Early Warning", this conference aims to build a platform for communication and cooperation, promote the exchange of latest research progress among experts and scholars in the fields of mathematics, big data and biomedicine，discuss the hot issues that need to be solved urgently，solve practical problems and promote the development of mathematical theory and its application.