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Did you mean theofilatos papadopoulos (230 results)?
Organizers of inhibitory synapses come of age.
Krueger-Burg D, Papadopoulos T, Brose N. Krueger-Burg D, et al. Among authors: papadopoulos t. Curr Opin Neurobiol. 2017 Aug;45:66-77. doi: 10.1016/j.conb.2017.04.003. Epub 2017 Apr 28. Curr Opin Neurobiol. 2017. PMID: 28460365 Review.
miRNAs in urine: a mirror image of kidney disease?
Papadopoulos T, Belliere J, Bascands JL, Neau E, Klein J, Schanstra JP. Papadopoulos T, et al. Expert Rev Mol Diagn. 2015 Mar;15(3):361-74. doi: 10.1586/14737159.2015.1009449. Epub 2015 Feb 8. Expert Rev Mol Diagn. 2015. PMID: 25660955 Review.
Omics databases on kidney disease: where they can be found and how to benefit from them.
Papadopoulos T, Krochmal M, Cisek K, Fernandes M, Husi H, Stevens R, Bascands JL, Schanstra JP, Klein J. Papadopoulos T, et al. Clin Kidney J. 2016 Jun;9(3):343-52. doi: 10.1093/ckj/sfv155. Epub 2016 Mar 21. Clin Kidney J. 2016. PMID: 27274817 Free PMC article. Review.
The health and economic impact of acute gastroenteritis in Belgium, 2010-2014.
Papadopoulos T, Klamer S, Jacquinet S, Catry B, Litzroth A, Mortgat L, Mamouris P, Rebolledo J, Vaes B, Van Cauteren D, Van der Heyden J, Beutels P, Devleesschauwer B. Papadopoulos T, et al. Epidemiol Infect. 2019 Jan;147:e146. doi: 10.1017/S095026881900044X. Epidemiol Infect. 2019. PMID: 30869061 Free PMC article.
Heart Failure: Diagnosis, Severity Estimation and Prediction of Adverse Events Through Machine Learning Techniques.
Tripoliti EE, Papadopoulos TG, Karanasiou GS, Naka KK, Fotiadis DI. Tripoliti EE, et al. Among authors: papadopoulos tg. Comput Struct Biotechnol J. 2016 Nov 17;15:26-47. doi: 10.1016/j.csbj.2016.11.001. eCollection 2017. Comput Struct Biotechnol J. 2016. PMID: 27942354 Free PMC article. Review.
The role of neurexins and neuroligins in the formation, maturation, and function of vertebrate synapses.
Krueger DD, Tuffy LP, Papadopoulos T, Brose N. Krueger DD, et al. Among authors: papadopoulos t. Curr Opin Neurobiol. 2012 Jun;22(3):412-22. doi: 10.1016/j.conb.2012.02.012. Epub 2012 Mar 15. Curr Opin Neurobiol. 2012. PMID: 22424845 Review.
Staphylococcus aureus and methicillin-resistant S. aureus (MRSA) in bulk tank milk, livestock and dairy-farm personnel in north-central and north-eastern Greece: Prevalence, characterization and genetic relatedness.
Papadopoulos P, Angelidis AS, Papadopoulos T, Kotzamanidis C, Zdragas A, Papa A, Filioussis G, Sergelidis D. Papadopoulos P, et al. Among authors: papadopoulos t. Food Microbiol. 2019 Dec;84:103249. doi: 10.1016/j.fm.2019.103249. Epub 2019 Jun 22. Food Microbiol. 2019. PMID: 31421759
Prevalence, antimicrobial susceptibility and characterization of Staphylococcus aureus and methicillin-resistant Staphylococcus aureus isolated from dairy industries in north-central and north-eastern Greece.
Papadopoulos P, Papadopoulos T, Angelidis AS, Kotzamanidis C, Zdragas A, Papa A, Filioussis G, Sergelidis D. Papadopoulos P, et al. Among authors: papadopoulos t. Int J Food Microbiol. 2019 Feb 16;291:35-41. doi: 10.1016/j.ijfoodmicro.2018.11.007. Epub 2018 Nov 9. Int J Food Microbiol. 2019. PMID: 30445283
A computational approach for the estimation of heart failure patients status using saliva biomarkers.
Tripoliti EE, Papadopoulos TG, Karanasiou GS, Kalatzis FG, Goletsis Y, Bechlioulis A, Ghimenti S, Lomonaco T, Bellagambi F, Trivella MG, Fuoco R, Marzilli M, Scali MC, Naka KK, Errachid A, Fotiadis DI. Tripoliti EE, et al. Among authors: papadopoulos tg. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:3648-3651. doi: 10.1109/EMBC.2017.8037648. Annu Int Conf IEEE Eng Med Biol Soc. 2017. PMID: 29060689
Predicting adherence of patients with HF through machine learning techniques.
Karanasiou GS, Tripoliti EE, Papadopoulos TG, Kalatzis FG, Goletsis Y, Naka KK, Bechlioulis A, Errachid A, Fotiadis DI. Karanasiou GS, et al. Among authors: papadopoulos tg. Healthc Technol Lett. 2016 Sep 27;3(3):165-170. doi: 10.1049/htl.2016.0041. eCollection 2016 Sep. Healthc Technol Lett. 2016. PMID: 27733922 Free PMC article.
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