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From hype to reality: data science enabling personalized medicine

Fröhlich, Holger , Balling, R., Beerenwinkel, N., Kohlbacher, O., Kumar, S., Lengauer, T., Maathuis, M. H., Moreau, Y., Murphy, S. A., Przytycka, T. M., Rebhan, M., Rost, H., Schuppert, A., Schwab, M., Spang, Rainer, Stekhoven, D., Sun, J., Weber, A., Ziemek, D. and Zupan, B. (2018) From hype to reality: data science enabling personalized medicine. BMC Med 16 (1), p. 150.

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Date of publication of this fulltext: 11 Sep 2018 08:17

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Other URL: https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-018-1122-7


Abstract

BACKGROUND: Personalized, precision, P4, or stratified medicine is understood as a medical approach in which patients are stratified based on their disease subtype, risk, prognosis, or treatment response using specialized diagnostic tests. The key idea is to base medical decisions on individual patient characteristics, including molecular and behavioral biomarkers, rather than on population ...

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Item type:Article
Date:27 August 2018
Institutions:Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Identification Number:
ValueType
10.1186/s12916-018-1122-7DOI
30145981PubMed ID
Keywords:Artificial intelligence; Big data; Biomarkers; Machine learning; P4 medicine; Personalized medicine; Precision medicine; Stratified medicine
Dewey Decimal Classification:600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Partially
Item ID:37702
Owner only: item control page

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