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Andy Paparountas

Manager at the Stockholm Medical Image Laboratory and Education (SMILE) facility at the Karolinska Institutet.

Triantafyllos Paparountas

Other

Manager at the Stockholm Medical Image Laboratory and Education (SMILE) facility at the Karolinska Institutet.

About me

My mission is to facilitate access to, acquisition and handling of medical images for image scientific processing purposes in research. With expertise as statistics trainer and course organizer, I further support life sciences projects by drawing on comprehensive knowledge in RWD analytics.

I was trained as Bioinformatician and Data Scientist with Interdisciplinary research experience as Project Manager / Data Scientist - Data Manager. With a Ph.D. degree from the Dep. Of Chemical Engineering of the NTUA University of Athens in Greece I continued in-depth education and certification (MBA) in project management, leadership, marketing and economics at the Heriot-Watt University School of Business, and Medical Statistics certification at the Athens University of Economics and Business.

My methodological and theoretical research as well as a considerable portion of my applied and collaborative work as a data scientist, focuses in the field of Epidemiology in Life Sciences and address the development and optimization of novel retrospective and predictive analysis pipelines. These pipelines encompass the stages of dataset incorporation / data digesting / interactive filtering / secure dataset handling & provision and where appropriate, automated statistical analyses and meta-analysis.

Research description

Core facility service description

In my position as the Manager of the Stockholm Medical Image Laboratory and Education (SMILE) facility at the CLINTEC Department of the Karolinska Institute in Sweden, I am setting up the facility with the scopes of providing pseudonymized or anonymized medical image storage for AI medical research in the short term and Radio-Genomics services further down in the future. Through linking medical image technologies (CT/MRI/X-Ray/Ultrasound) with the underlying genomic profile of diseases (GWAS, Methyl-Seq, RNA-Seq, NGS) and the application of artificial intelligence for pattern recognition and predictive modelling based on clinical profiles, we aim to get a step closer to the AI-driven personalized medicine era. Achieving this feat will require transparently linking multiple cloud services, leveraging the know-how of collaborating parties (Medical Doctors / Physicists / Data Scientists / Biomedical engineers) and updating the Swedish legal framework.

Publications

  1. Paparountas, T., Tzouvelekis, A., Harokopos, V., Oikonomou, N., Chatziioannou, A., Vilaras, G.. Aidinis, V. (2007). Comparative expression profiling in pulmonary fibrosis suggests a role of hypoxia-inducible factor-1alpha in disease pathogenesis. Am J Respir Crit Care Med, 176(11), 1108-1119. doi: 10.1164/rccm.200705-683OC (shared first co-authorship) PMID: 17761615 
  2. Nanou A, Toumpeki C, Lavigne MD, Lazou V, Demmers J, Paparountas T, Thanos D, Katsantoni E. (2016) The dual role of LSD1 and HDAC3 in STAT5-dependent transcription is determined by protein interactions, binding affinities, motifs and genomic positions. NAR. PMID: 27651463 (2016)
  3. Heppenstal P., Paparountas T., et al. (2016) A subpopulation of itch receptors marked by Ret expression. Jan 2016 EMBO reports accepted Jan 26 2016. PMID: 26929027 (2014)
  4. Oikonomou, N., Thanasopoulou, A., Tzouvelekis, A., Harokopos, V., Paparountas, T., Nikitopoulou, I.. Aidinis, V. (2009). Gelsolin expression is necessary for the development of modelled pulmonary inflammation and fibrosis. Thorax, 64(6), 467-475. doi: 10.1136/thx.2008.107946 PMID: 19213772 (2012)
  5. Vassiliou, A. G., Paparountas, T., et al. (2013). "Induced expression and functional effects of Aquaporin-1 in human leukocytes in sepsis." Crit Care 17(5): R199. PMID: 24028651
  6. Fotopoulou, S., Oikonomou, N., Grigorieva, E., Nikitopoulou, I., Paparountas, T., Thanassopoulou, A., Aidinis, V. (2010). ATX expression and LPA signalling are vital for the development of the nervous system. Dev Biol, 339(2), 451-464. doi: 10.1016/j.ydbio.2010.01.007 PMID: 20079728
  7. Larentzakis, A., Paparountas, T., & Theodorou, D. (2012). Letter to the editor regarding the experimental study of Adas et al.: Mesenchymal stem cells improve the healing of ischemic colonic anastomoses. Langenbecks Arch Surg, 397(1), 143; author reply 143-144. doi: 10.1007/s00423-011-0814-7 PMID:21755433
  8. Paparountas, Triantafyllos, Nikolaidou-Katsaridou, Maria Nefeli, Rustici, Gabriella, & Aidinis, Vasilis. (2012). Data Mining and Meta-Analysis on DNA Microarray Data. IJSBBT, 1-39. doi: 10.4018/ijsbbt.2012070101
  9. Association, I. R. M. (2013). Bioinformatics: Concepts, Methodologies, Tools, and Applications, IGI Global. Ch. 62 Data Mining and Meta-Analysis on DNA Microarray Data

Education

Lecturing, examinations and tutoring in biomedical statistics for multidiciplinary biomedical research students. Codirecting clinical courses in laboratory animal science with focus on experimental design and primary analysis.

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