健康医疗大数据与罕见病的精准用药

 药物治疗是罕见病的主要治疗方式,然而目前仅有1%的罕见病能够得到有效的药物治疗。不同来源的基因组、转录组等组学数据与临床表型数据融合起来形成的"健康医疗大数据",可以通过集中小规模罕见病临床数据的方式有效弥补罕见病样本量少的不足。大数据信息可用于研究罕见病新的药物靶点、探索成熟药物在罕见病领域新用法、分析药物不良反应实现个体化用药,并可进一步通过大数据技术建立本地化罕见病知识库,从而实现罕见病的精准诊断和治疗。随着大数据研究的不断深入,仍然需要突破多组学融合及分析技术、基于真实世界的知识提取技术、基于组学的临床决策支持等技术壁垒才能使大数据在罕见病的诊疗中得到最大应用。

Healthcare big data and the precise medication for rare diseases

The rapid development of the ubiquitous computing and wearable devices witnesses a new challenge in the natural hand gesture recognition:to free the users from the constraints of the environment and the devices and help the users interact with the environment in a natural and effective way. And the mid-air gesture recognition is one of the effective methods, capable of dealing with the challenge. This paper describes the definition of the mid-air gesture at first, and then analyzes and summarizes the existing hand gesture recognition methods, based on the computer vision, the ultrasonic signal and the electromagnetic wave. At last, this paper discusses the applications of the mid-air gesture recognition, some open questions and the development in the future.