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.
![[img]](https://epub.uni-regensburg.de/style/images/fileicons/application_pdf.png) | License: Creative Commons Attribution 4.0 PDF - Published Version Download (2MB) |
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: |
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| 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 |
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