Predictive Medicine | ScienceGate

Predictive medicine, utilizing the ProteinChip®Array technology, will develop through the implementation of novel biomarkers and multimarker patterns for detecting disease, determining patient prognosis, monitoring drug effects such as efficacy or toxicity, and for defining treatment options. These biomarkers may also serve as novel protein drug candidates or protein drug targets. In addition, the technology can be used for discovering small molecule drugs or for defining their mode of action utilizing protein-based assays. In this review, we describe the following applications of the ProteinChip Array technology: (1) discovery and identification of novel inhibitors of HIV-1 replication, (2) serum and tissue proteome analysis for the discovery and development of novel multimarker clinical assays for prostate, breast, ovarian, and other cancers, and (3) biomarker and drug discovery applications for neurological disorders.

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ARIA 2016: Care pathways implementing emerging technologies for predictive medicine in rhinitis and asthma across the life cycle

Clinical and Translational Allergy ◽

10.1186/s13601-016-0137-4 ◽

2016 ◽

Vol 6 (1) ◽

Cited By ~ 74

Author(s):

J. Bousquet ◽

P. W. Hellings ◽

I. Agache ◽

A. Bedbrook ◽

C. Bachert ◽

...

Keyword(s):

Life Cycle ◽

Emerging Technologies ◽

Predictive Medicine ◽

Care Pathways

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Omics-based Medicine and Systems Pathology

Methods of Information in Medicine ◽

10.3414/me9307 ◽

2010 ◽

Vol 49 (02) ◽

pp. 173-185 ◽

Cited By ~ 20

Author(s):

H. Tanaka

Keyword(s):

First Generation ◽

Genomic Medicine ◽

Disease Process ◽

System Level ◽

Predictive Medicine ◽

Human Genomics ◽

Model Driven ◽

Systems Pathology ◽

Molecular Information ◽

Based Medicine

Summary 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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