Yeghiazaryan K - Search Results

1

Key molecular pathways affected by glaucoma pathology: is predictive diagnosis possible?

Golubnitschaja O, Yeghiazaryan K, Flammer J. Golubnitschaja O, et al. Among authors: yeghiazaryan k. EPMA J. 2010 Jun;1(2):237-44. doi: 10.1007/s13167-010-0031-4. Epub 2010 Jun 29. EPMA J. 2010. PMID: 23199062 Free PMC article.

2

Opinion controversy to chromium picolinate therapy's safety and efficacy: ignoring 'anecdotes' of case reports or recognising individual risks and new guidelines urgency to introduce innovation by predictive diagnostics?

Golubnitschaja O, Yeghiazaryan K. Golubnitschaja O, et al. Among authors: yeghiazaryan k. EPMA J. 2012 Oct 7;3(1):11. doi: 10.1186/1878-5085-3-11. EPMA J. 2012. PMID: 23039227 Free PMC article.

3

Predictive molecular profiling in blood of healthy vasospastic individuals: clue to targeted prevention as personalised medicine to effective costs.

Yeghiazaryan K, Flammer J, Golubnitschaja O. Yeghiazaryan K, et al. EPMA J. 2010 Jun;1(2):263-72. doi: 10.1007/s13167-010-0032-3. Epub 2010 Jun 29. EPMA J. 2010. PMID: 23199064 Free PMC article.

4

Degenerative valve disease and bioprostheses: risk assessment, predictive diagnosis, personalised treatments.

Yeghiazaryan K, Skowasch D, Bauriedel G, Schild HH, Golubnitschaja O. Yeghiazaryan K, et al. EPMA J. 2011 Mar;2(1):91-105. doi: 10.1007/s13167-011-0072-3. Epub 2011 Apr 3. EPMA J. 2011. PMID: 23199131 Free PMC article.

5

Birth asphyxia as the major complication in newborns: moving towards improved individual outcomes by prediction, targeted prevention and tailored medical care.

Golubnitschaja O, Yeghiazaryan K, Cebioglu M, Morelli M, Herrera-Marschitz M. Golubnitschaja O, et al. Among authors: yeghiazaryan k. EPMA J. 2011 Jun;2(2):197-210. doi: 10.1007/s13167-011-0087-9. Epub 2011 Jun 9. EPMA J. 2011. PMID: 23199149 Free PMC article.

6

Risk assessment, disease prevention and personalised treatments in breast cancer: is clinically qualified integrative approach in the horizon?

Golubnitschaja O, Yeghiazaryan K, Costigliola V, Trog D, Braun M, Debald M, Kuhn W, Schild HH. Golubnitschaja O, et al. Among authors: yeghiazaryan k. EPMA J. 2013 Feb 19;4(1):6. doi: 10.1186/1878-5085-4-6. EPMA J. 2013. PMID: 23418957 Free PMC article.

7

Impaired wound healing: facts and hypotheses for multi-professional considerations in predictive, preventive and personalised medicine.

Avishai E, Yeghiazaryan K, Golubnitschaja O. Avishai E, et al. Among authors: yeghiazaryan k. EPMA J. 2017 Mar 3;8(1):23-33. doi: 10.1007/s13167-017-0081-y. eCollection 2017 Mar. EPMA J. 2017. PMID: 28620441 Free PMC article. Review.

8

Premenopausal breast cancer: potential clinical utility of a multi-omics based machine learning approach for patient stratification.

Fröhlich H, Patjoshi S, Yeghiazaryan K, Kehrer C, Kuhn W, Golubnitschaja O. Fröhlich H, et al. Among authors: yeghiazaryan k. EPMA J. 2018 Apr 11;9(2):175-186. doi: 10.1007/s13167-018-0131-0. eCollection 2018 Jun. EPMA J. 2018. PMID: 29896316 Free PMC article.

9

Liquid biopsy and multiparametric analysis in management of liver malignancies: new concepts of the patient stratification and prognostic approach.

Golubnitschaja O, Polivka J Jr, Yeghiazaryan K, Berliner L. Golubnitschaja O, et al. Among authors: yeghiazaryan k. EPMA J. 2018 Aug 17;9(3):271-285. doi: 10.1007/s13167-018-0146-6. eCollection 2018 Sep. EPMA J. 2018. PMID: 30174763 Free PMC article.

10

Optimal multiparametric set-up modelled for best survival outcomes in palliative treatment of liver malignancies: unsupervised machine learning and 3 PM recommendations.

Goldstein E, Yeghiazaryan K, Ahmad A, Giordano FA, Fröhlich H, Golubnitschaja O. Goldstein E, et al. Among authors: yeghiazaryan k. EPMA J. 2020 Aug 10;11(3):505-515. doi: 10.1007/s13167-020-00221-2. eCollection 2020 Sep. EPMA J. 2020. PMID: 32839667 Free PMC article.

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