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2020年定制化医疗:医学测序与网络生物学如何推动个性化医疗

Customized care 2020: how medical sequencing and network biology will enable personalized medicine.

作者信息

Boguski Mark S, Arnaout Ramy, Hill Colin

机构信息

Department of Pathology, Beth Israel Deaconess Medical Center and Center for Biomedical Informatics, Harvard Medical School, 10 Shattuck St, Boston, MA 02115, USA.

出版信息

F1000 Biol Rep. 2009 Sep 28;1:73. doi: 10.3410/B1-73.

DOI:10.3410/B1-73
PMID:20948615
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2948270/
Abstract

Applications of next-generation nucleic acid sequencing technologies will lead to the development of precision diagnostics that will, in turn, be a major technology enabler of precision medicine. Terabyte-scale, multidimensional data sets derived using these technologies will be used to reverse engineer the specific disease networks that underlie individual patients' conditions. Modeling and simulation of these networks in the presence of virtual drugs, and combinations of drugs, will identify the most efficacious therapy for precision medicine and customized care. In coming years the practice of medicine will routinely employ network biology analytics supported by high-performance supercomputing.

摘要

下一代核酸测序技术的应用将推动精准诊断的发展,而精准诊断反过来又将成为精准医疗的一项关键技术支撑。利用这些技术获得的万亿字节规模的多维数据集将用于逆向构建构成个体患者病情基础的特定疾病网络。在虚拟药物及药物组合存在的情况下对这些网络进行建模和模拟,将确定精准医疗和定制化护理中最有效的治疗方法。在未来几年,医学实践将常规性地采用由高性能超级计算机支持的网络生物学分析方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cfe/2948270/8705e64ecd39/1757-594X-0001-0000000073-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cfe/2948270/8705e64ecd39/1757-594X-0001-0000000073-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cfe/2948270/8705e64ecd39/1757-594X-0001-0000000073-g001.jpg

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