Call for Papers
Focus Theme: „Single Subject Research Design and Data Processing“
Deadline: Nov 1, 2016

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Archive (2016–2006)

Omics-based Medicine and Systems Pathology

Journal: Methods of Information in Medicine
Subtitle: A journal stressing, for more than 50 years, the methodology and scientific fundamentals of organizing, representing and analyzing data, information and knowledge in biomedicine and health care
ISSN: 0026-1270

Special Topic: eHealth: Combining Health Telematics, Telemedicine, Biomedical Engineering and Bioinformatics to the Edge
Guest Editors: B. Blobel, J. Zvárová

Issue: 2010 (Vol. 49): Issue 2 2010
Pages: 173-185

Omics-based Medicine and Systems Pathology

A New Perspective for Personalized and Predictive Medicine

Special Topic: Comprehensive eHealth

H. Tanaka (1)

(1) Graduate School of Biomedical Science, Tokyo Medical and Dental University, Tokyo, Japan


Genomics, pharmacogenomics, systems pathology, Omics-based medicine, omics


Objectives: Recent important advances in the human genomics and post-genomic “omics” are now bringing about a new medical care which we call “omics-based medicine”. In this article, we investigated the development and future possibilities of omics-based medicine. Methods: We divided the development of omics-based medicine into three generations in order to clarify the main clinical goals and characteristics of informatics method of each generation, together with its future possibilities. Results: The first generation of omics-based medicine started with “genomic medicine” based on the inborn individual differences of genome. It has opened the study of genetic polymorphism of the diseases and promoted the personalized medication based on the pharmacogenetic/pharmacogenomic difference of the drug response. In the second generation of omics-based medicine, owing to the advances in the high-throughput technology, vast amount of the various post-genomic disease omics data containing comprehensive molecular information of diseased somatic cells has become available. It reflects the ongoing state of diseases more closely and enables the predictive medicine such as prognosis prediction of disease by applying the data-driven analysis. Finally, due to the rapidly growing knowledge about the cellular molecular network, system-level understanding of the disease, called systems pathology, becomes possible. It can fully exploit the substantial contents of disease omics and will lead to a comprehensive understanding of disease process by using model-driven analysis. Conclusion: Omics-based medicine and systems pathology will realize a new personalized and predictive medicine.

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