Suppr超能文献

生物医学信息学在转化医学中的未来挑战。

Future challenges of biomedical informatics for translational medicine.

作者信息

López-Alonso Victoria, Hermosilla-Gimeno Isabel, López-Campos Guillermo, Mayer Miguel Angel

机构信息

Bioinformatics Unit, CNM, Instituto de Salud Carlos III, Madrid, Spain.

出版信息

Stud Health Technol Inform. 2013;192:942.

Abstract

There are many challenges for Biomedical Informatics (BMI) to meet the promises of Translational Medicine. Several of the challenges have to do with the re-use of clinical data to progress towards 4P Medicine (personalized, preventive, participatory and predictive) and using epidemiology and clinical research as well as the translation of data and knowledge obtained in the laboratory into useful information for the clinical setting. The INBIOMEDvision EU funded project tackled these challenges in a series of events with expert scientists in different related disciplines. As a result, some consensus ideas were reached about the BMI challenges in the research areas of Genotype-Phenotype integration, Translational Systems Biology and Re-use of Clinical information in the Electronic Health Records (EHR) for research and what is needed to meet them.

摘要

生物医学信息学(BMI)要实现转化医学的承诺面临诸多挑战。其中一些挑战涉及临床数据的再利用,以朝着4P医学(个性化、预防性、参与性和预测性)发展,并利用流行病学和临床研究,以及将实验室获得的数据和知识转化为临床环境中有用的信息。由欧盟资助的INBIOMEDvision项目在一系列活动中与不同相关学科的专家科学家共同应对这些挑战。结果,就基因型-表型整合、转化系统生物学以及电子健康记录(EHR)中临床信息的再利用等研究领域的BMI挑战,以及应对这些挑战所需的条件达成了一些共识性观点。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验