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OHDSI Symposium​ 'We'll meet again for one journey ahead!' 2022 June 24th

The third European OHDSI Symposium called "We'll meet again for one journey ahead!" aimed to share results and ideas about the use of the OMOP-CDM, tool development, and future research.

The main symposium took place on Friday June 24th 2022 at the ship SS Rotterdam. Saturday June 25th, and Sunday June 26th  were dedicated to workshop and workgroup meetings, held in the Education Centre of the Erasmus University Medical Center, Rotterdam.

The symposium had 350 participants, 24 plenary presentations, and 80 posters.

Video Recordings can be found on the OHDSI YouTube Channel.

Slides

Video 

Description

Photo
   

SESSION ONE

Introduction:

3:08 - Welcome to the European OHDSI Journey

Peter Rijnbeek, PhD, Chair, Department of Medical Informatics, Erasmus MC

13:00 - Journey of OHDSI: Where Have We Been?            

George Hripcsak MD, MS, Vivian Beaumont Allen Professor and Chair, Biomedical Informatics, Columbia University Medical Center

34:45 - A Cruise around the OHDSI Europe Community

Moderator: Nigel Hughes, Janssen Research and Development

  1. 37:00 - Estonia. Conversion of Estonian health data into the OMOP CDM Speaker: Marek Oja, Institute of Computer Science, University of Tartu
  2. 42:59 - Finland. The Finnish OMOP data network (FinOMOP) Speaker: Javier Gracia-Tabuenca, FinnGen
  3. 49:33 - Denmark. Transforming Danish Registries to the OMOP Common Data Model: use case on the Danish Colorectal Cancer Group (DCCG) Database Speaker: Andi Tsouchnika, Center for Surgical Science, Zealand University Hospital
  4. 57:04 - Norway. Norwegian registries onto OMOP Common Data Model: mapping challenges and opportunities for pregnancy studies Speaker: Eimir Hurley, University of Oslo
  5. 1:04:25 - Germany. OHDSI Germany: A recap after one year Speaker: Michele Zoch, Technische Universität Dresden
  6. 1:12:43 - Italy. The Italian national node of OHDSI Europe Speaker: Lucia Sacchi, University of Pavia
  7. 1:17:45 - Greece. An update from the Greek National Node Speaker: Pantelis Natsiavas, Centre for Research & Technology Hellas
  8. 1:23:07 - Ukraine. Integration prospects of the Ukrainian healthcare system with OMOP CDM Speaker: Mariia Kolesnyk, SciForce
  9. 1:29:40 - Israel. The journey from isolated EHR’s to unified CDM network Speaker: Guy Livne, Israel Ministry of Health
  10. 1:34:30 - France. The Health Data Hub, the French national gateway for an easy, unified, transparent and secure access to health data Speaker: Lorien Benda, Health Data Hub

1:40:40 - Panel discussion 

 

SESSION TWO

Collaborator Showcase

1:33 - Introduction by moderator Katia Verhamme, MD, Associate Professor of Use and Analysis of Observational Data, Department of Medical Informatics, Erasmus MC, Rotterdam.

  1. 2:48 - FeederNet (Federated E-Health Big Data for Evidence Renovation Network) platform in Korea Speaker: Chungsoo Kim, Ajou University
  2. 8:04 - OMOP Genomic mapping capacities in conversion of comprehensive genomic profiling results Speaker: Maria Rogozhkina, Odysseus
  3. 12:59 - OMOP Mapping of Real-World Data from Brazil & Pakistan Towards Management of COVID-19 In the Global South Speaker: Sara Khalid, University of Oxford
  4. 19:23 - Impact of random oversampling and random undersampling on the development and validation of prediction models using observational health data Speaker: Cynthia Yang, Erasmus MC
  5. 24:23 - Real-world evidence is in demand: a summary of ‘live’ requests for RWE studies published by a European health technology assessment (HTA) agency Speaker: Jamie Elvidge, National Institute for Health and Care Excellence (NICE)
  6. 31:48 - Why predicting risk can’t identify ‘risk factors’: empirical assessment of model stability in machine learning across observational health databases Speaker: Aniek Markus, Erasmus MC
  7. 38:15 - TrajectoryViz: Interactive visualization of treatment trajectories Speaker: Maarja Pajusalu, Institute of Computer Science, University of Tartu
  8. 44:47 - Assessing treatment effect heterogeneity using the RiskStratifiedEstimation R-package Speaker: Alexandros Rekkas, Erasmus MC
  9. 49:45 - Defining the valid analytic space for quantitative bias analysis in pharmacoepidemiology Speaker: James Weaver, Janssen R&D
  10. 58:03 - A pilot study to evaluate the feasibility of using Observational Health Data Sciences and Informatics analytics tools for supporting the validation of safety signals Speaker: Ceyda Pekmez Kristiansen, Novo Nordisk

1:03:32 - Finable, Standardized Data at Scale through the EHDEN Database Catalogue

Julia Kurps, The Hyve

   

SESSION THREE

0:52 - Characterizing Adverse Events in COVID-19 infected patients across the OHDSI network

Erica A. Voss, MPH, Janssen Research and Development, Erasmus MC

28:10 - Data Analysis and Real World Interrogation Network (DARWIN EU®)

Peter Rijnbeek, PhD, Professor, Department of Medical Informatics, Erasmus MC, Rotterdam

42:45 - Reaction Panel with key Stakeholders

Moderator: Dani Prieto-Alhambra, MD, PhD Professor of Pharmaco- and Device Epidemiology University of Oxford, Professor of Real World Evidence and Methods Research, Erasmus MC

Panelists:

  • Catherine Cohet, European Medicines Agency
  • Filip Maljković, Heliant, Serbia
  • Daniel Morales, Dundee University,UK
  • Dalia Dawoud, NICE, UK
  • Patrick Ryan, Janssen Research and Development, USA

1:29:45 - Closing Remarks

Peter Rijnbeek, PhD, Professor, Department of Medical Informatics, Erasmus MC, Rotterdam

Workshop
 

Designing and Implementing a network characterization study

 

When: June 25th. 9:00-16:00

 

Faculty: Patrick Ryan, Janssen Research and Development  

 

This full day workshop will go through the full journey to design and implement a network characterization study.

 

Target Audience: All stakeholders, including programmers, regulators, study leads, data partners, etc.
  

Workgroups

 The workgroups were not recorded, as they were designed to be informal, however the leads have given interviews to summarize. 

Educational Workgroup

When: June 26th. 10:00-12:30

Lead: Nigel Hughes

 

HADES Workgroup

When: June 26th. 10:00-12:30

Lead: Martijn Schuemie

 
   

Oncology Workgroup

When: June 26th. 10:00-12:30

Lead: Asieh Golozar

 
   

Vocabulary Workgroup

When: June 26th. 10:00-12:30

Lead: Michael Kallfelz

 
   

Patient Level Prediction Workgroup

When: June 26th. 13:30-16:00

Lead: Ross Williams, Jenna Reps

 
   

OMOP-FHIR Workgroup

When: June 26th. 13:30-16:00

Lead: Christian Reich

 
     ETL/CDM Workgroup

When: June 26th. 13:30-16:00

Lead: Erica Voss, Maxim Monat

 

  

Symposium Handouts

Symposium Agenda
Poster Presentations
Software Demonstrations
Symposium Sponsors

Posters 

Pdfs can be viewed by clicking on the poster title

Observational data standards and management

 1

 Conversion of Estonian health data into the OMOP CDM: insurance claims, prescription data and electronic health records Marek Oja, Sirli Tamm, Sulev Reisberg, Raivo Kolde, Sven Laur, Hendrik Šuvalov, Harry-Anton Talvik, Jaak Vilo

 2

The European Health Data & Evidence Network (EHDEN)–Sharing the OHDSI Journey and a Vision of Evidence Today, not in several tomorrows

 N. Hughes, D. Prieto-Alhambra, C. Diaz, P. Rijnbeek, on behalf of the EHDEN Consortium

 3

 FeederNet (Federated E-Health Big Data for Evidence Renovation Network) platform in Korea Seongwon Lee, Chungsoo Kim, Junhyuk Chang, Rae Woong Park

 4

 The Finnish OMOP data network (FinOMOP) Anna Hammais, Persephone Doupi, Sampo Kukkurainen, Perttu Koskenvesa, Javier Gracia-Tabuenca, Oscar Brück, Leena Hakkarainen, Annu Kaila, Gustav Klingstedt, Kalle Kollin, Juha Koski, Jan Magnusson, Toni Mikkola, Pasi Rikala, Simo Ryhänen, Max Salmi, Ilona Siljander, Pia Tajanen, Juha-Matti Varjonen, Arto Vesterbacka, Arto Vuori, Arho Virkki, Tarja Laitinen, Kimmo Porkka

 5

 The journey from central operational data-lake to Medica Centers CDM network Guy Livne, Nadav Rappoport, Nir Makover, Hadas Eshel-Geva, Hadar Kapach, Tomer Hadad, Yarin Alon, Naama Perry-Cohen

 6

 Integration prospects of the Ukrainian healthcare system with OMOP CDM Tetiana Aleksandrova, Polina Talapova, Denys Kaduk, Maksym Trofymenko, Mariia Kolesnyk, Inna Ageeva, Max Ved
 7 Norwegian registries onto OMOP Common Data Model: mapping challenges and opportunities for pregnancy studies Nhung Trinh, Jared Houghtaling, Fabian Leonardo Martinez Bernal, Eimir Hurley, Emma Gesquiere, Lars Halvorsen, Hedvig Marie Egeland Nordeng
 8 Transforming Danish Registries to the OMOP Common Data Model: use case on the Danish Colorectal Cancer Group (DCCG) Database Andi Tsouchnika, Maliha Mashkoor, Andreas Weinberger Rosen, Eldar Allakhverdiiev, Jared Houghtaling, Freija Descamps, Mikail Gögenur, Viviane Annabelle Lin, Johan Stub Rønø Clausen, Karoline Bendix Bräuner, Julie Sparholt Walbech, Soham Ravindra Shinde, Ismail Gögenur
 9 Semantic harmonization of the French National healthcare database (SNDS) Lorien Benda, Cécile Roseau, Nicolas Thurin, Stéphanie Combes
 10 OHDSI Germany: A recap after one year Elisa Henke, Yuan Peng, Najia Ahmadi, Joshua Wiedekopf, Mareike Przysucha, Josef Schepers, Martin Sedlmayr, Ines Reinecke
 11 OHDSI Italia: the Italian national node of OHDSI Europe Lucia Sacchi
 12 PHAROS, Platform for Harmonizing and Accessing Data in Real-time on Infectious Disease Surveillance Based on OMOP-CDM in Korea Chungsoo Kim, Jimyung Park, Seongwon Lee, Rae Woong Park
 13 Ensuring Data Quality in a Federated Data Network Wout Vekemans, Michel Van Speybroeck
 14 Applying k-anonymity and l-diversity in OMOP CDM databases João Rafael Almeida, José Luís Oliveira
 15 OMOP Genomic mapping capacities in conversion of comprehensive genomic profiling results Maria Rogozhkina
 16 Mapping PROMs data from the Dutch PROFILES registry to the OMOP CDM - experiences and challenges Peter Prinsen, Chiara Attanasio, Corina van den Hurk, Nicole Horevoorts, Sebastiaan van Sandijk
 17 OMOP project evolvement at Technische Universität Dresden over the past years Ines Reinecke, Michéle Zoch, Yuan Peng, Elisa Henke, Najia Ahmadi, Martin Sedlmayr
 18 Performance Improvement on mapping CPRD GOLD to OMOP CDM Barrack Omondi, Daniel Prieto-Alhambra, Antonella Delmestri
 19 OMOP CDM for European rare disease registries Rowdy de Groot, Nirupama Benis, Pablo Alarcon, Rajaram Kaliyaperumal, Marco Roos, Ronald Cornet, Nuria Queralt-Rosinach
 20 Challenges and solutions in using OMOP CDM to FAIRify a Dutch ICU quality registry Daniel Puttmann, Nicolette de Keizer, Ronald Cornet, Eric van der Zwan, Ferishta Bakhshi-Raiez
 21 A standard ETL process from REDCap to OMOP Francesco Pozzoni, Matteo Gabetta, Mauro Bucalo, Nicola Barbarini
 22 Current Status of OMOP-CDM in Asia-Pacific regions and Lessons for Data Quality Assessment: Collaborative CDM Inspection Study Chungsoo Kim, Seongwon Lee, Jing Li, Can Yin, Jiawei Qian, Clair Blacketer, Anthony Molinaro, Dinuja Willigoda Liyanage, Mui Van Zandt, Rae Woong Park
 23 Mapping UKB to the OMOP CDM: Challenges and Solutions Sofia Bazakou, Maxim Moinat, Alessia Peviani, Anne van Winzum, Stefan Payralbe, Vaclav Papez, Spiros Denaxas
 24 Mapping of complex constructs in OMOP CDM Alexander Davydov, Christian Reich
 25 Challenges and possible solutions for the maintenance of the OMOP CDM Standardized Vocabularies Eduard Korchmar, Mariia Kolesnyk, Polina Talapova, Denys Kaduk
 26 Mapping concepts from the Netherlands Cancer Registry to the OMOP-CDM - experiences and challenges Chiara Attanasio, Floor Klijn, Jennifer Caffarel, Peter Prinsen
 27 Common data environment for source vocabularies mapping Irina Zherko
 28 Pregnancy extension table in the OMOP CDM Alicia Abellan, Edward Burn, Nhung Trinh, Sergio Fernández-Bertolín, Eimir Hurley, Daniel R. Morales, Hedvig Marie Egeland Nordeng, Talita DuarteSalles
 29 Comparing Data Quality Dashboard results from consecutive ETL iterations: two new visualizations and one utility script Elena G. Lara, Maxim Moinat, Anne van Winzum
 30 An EHDEN Data Partner Experience: Transforming the Hospital i2b2 data repository into OMOP common data model Maria Teresa García Morales, Miguel Pedrera Jimenez, Noelia García Barrio, Diego Boscá Tomás, Pablo Serrano Balazote, David Lora Pablos, Agustín Gómez de la Cámara

 

 Open-source analytics development

31

 A dashboard for visual comparison of OMOP CDM databases André Pedrosa, João Rafael Almeida, Michel Van Speybroeck, Maxim Moinat, Peter R. Rijnbeek, José Luís Oliveira

32

 The EHDEN Platform Roadmap Michel Van Speybroeck, Maxim Moinat, Julia Kurps, Sebastiaan Van Sandijk, José Luis Oliveira, Peter Rijnbeek

33

 CohortsExport: A Shiny app to explore and export data from the OMOP Common Data Model Vittoria Ramella, Matteo Gabetta, Nicola Barbarini

34

 EHDEN Academy – a global educational collaboration with OHDSI Nigel Hughes, Henrik John, Michela Miani, Inari Soininen, Richard Tischler, Patrick Ryan, Peter Rijnbeek

35

 Two Hurdles in delivery of productised analytics J Brewster, J Li, Sarah Seager, Christian Reich

36

 Miniaturizing Data Harmonization; Methods to Facilitate Training in the OMOP Data Ecosystem Emma Gesquiere, Jared Houghtaling, Ivo Mbi Kubam, Frederic Jung, Ben Burke, Freija Descamps, Lars Halvorsen

37

 The EHDEN Portal – an entry web platform for OMOP CDM resources João Rafael Almeida, André Pedrosa, Nigel Hughes, Peter Rijnbeek, José Luís Oliveira
38 OHDSI-On-A-Pi: Containerization of OHDSI Software Tools for Use on a Raspberry Pi Jared Houghtaling, Lars Halvorsen
39 Perseus: Design and run your own ETL to CDM Anton Ivanov, Samus Sergey, Alexander Efimov, Maxim Draschinsky
40 From ATLAS to predictive modeling CDM data extracting & Study preparations Guy Livne, Nadav Rappoport, Nir Makover, Hadas Eshel-Geva, Hadar Kapach, Tomer Hadad, Yarin Alon , Naama Perry-Cohen
41 Mapping UK Biobank to the OMOP CDM: development of USAGI Maxim Moinat, Sofia Bazakou

 

Clinical applications

42

 Pharmacological treatment pathways of chronic cough in adults in primary care in the Netherlands: A population-based study Johnmary T. Arinze, Solomon Ioannou, Aniek F. Markus, Guy Brusselle, Peter R. Rijnbeek, Katia M.C. Verhamme

43

 TROY: Trials Replication through Observational study by Yonsei Jaehyeong Cho, Chungsoo Kim, Kyulee Jeon, Ju-Young Shin, Rae Woong Park, Kyung Won Kim, Seng Chan You

44

 Implementing the OHDSI Community Approach to Phenotype a Complex Medical Condition in European Primary Care Data Kristin Kostka, Evan Minty, Antonella Delmestri, Barrack Omondi, Martí Català, Edward Burn, Daniel Prieto-Alhambra, Annika M. Jödicke

45

 OMOP Mapping of Real-World Data From Brazil & Pakistan Towards Management of COVID-19 In the Global South Elzo Pereira Pinto Junior, Priscilla Normando, Leandro Rodor de Oliveira, Muhammad Asaad Jamil, Muhammad Usman Afzal, Sergio Fernandez Bertolin, Vinícius de Araújo Oliveira, Rafael Souza, Maria Yury Ichihara, Maurício L. Barreto, Talita Duarte Salles, Daniel Prieto-Alhambra, Haroon Hafeez, Sara Khalid

46

 Characterization of Health by OHDSI Asia-Pacific chapter to identify Temporal Effect of the Pandemic for Cardiovascular Diseases (CHAPTERCVDs) Seng Chan You, Subin Kim, Yongjae Lee, Jing Li, Can Yin, Mui Van Zandt

47

 Macrolides use among patients with asthma and chronic obstructive pulmonary disease – A drug utilization and prediction study Victor Pera, Helen Panen, Maria de Ridder, Lies Lahousse, Peter Rijnbeek, Katia Verhamme

48

 Developing a frailty concept in the OMOP CDM among sexual minority older adults (age 50+) in the All of Us database Brianne Olivieri-Mui, Chelsea Wong, Michael Wilczek, Jordan Bosse

49

 Trial feasibility assessments in federated hospital EHR networks, based on OMOP CDM: An objective of the IMI EU-PEARL Consortium Eva-Maria Didden, Maxim Moinat, Esther Arevalo de Andres, Camille Couvert, Britt Dhaenens, Susana Kalko, Andreas Kremer, Martine Lewi, Cécile Spiertz, Eng Hooi Tan, Courtney Worrell, Nadir Ammour, Dipak Kalra

50

 A pilot study to evaluate the feasibility of using Observational Health Data Sciences and Informatics analytics tools for supporting the validation of safety signals Ceyda Tugba Pekmez Kristiansen, Lasse Christensen, Michael Stellfeld, Atheline Major-Pedersen, Ditte Mølgaard-Nielsen, Mark White, Peter Jelnes

51

 Impact of the COVID-19 pandemic on eating disorders among adolescents and young adults in Catalonia: a population-based cohort study Berta Raventós, Alicia Abellan, Andrea Pistillo, Carlen Reyes, Edward Burn, Talita Duarte-Salles

52

 Informativeness of clinical lymph node metastasis staging for patients undergoing curative intended surgery for colorectal cancer: A national multi-register study Andreas Weinberger Rosen, Ilze Ose, Adamantia Tsouchnika, Ismail Gögenur

53

 Characteristics and outcomes of inflammatory bowel disease patients: an open, multinational OHDSI network study Chen Yanover, Ramit Magen-Rimon, Jimyung Park, Rae Woong Park, Kwang Jae Lee, Sung Jae Shin, Nadav Rappoport, Tal El-Hay, Maytal Bivas-Benita, Pinchas Akiva, Yehuda Chowers, Roni Weisshof

54

 Characterization of Health by OHDSI Asia-Pacific chapter to identify Temporal Effect of the Pandemic for Diabetes Mellitus (CHAPTER-DM) Yizhi Dong, Seng Chan You, Subin Kim, Jing Li, Can Yin, Mengling Feng

 

Methodological research

55

 Defining the valid analytic space for quantitative bias analysis in pharmacoepidemiology James Weaver, Patrick B Ryan, Victoria Strauss, Marc A Suchard, Joel Swerdel, Daniel Prieto-Alhambra

56

 Impact of random oversampling and random undersampling on the development and validation of prediction models using observational health data Cynthia Yang, Egill A. Fridgeirsson, Jan A. Kors, Jenna M. Reps, Peter R. Rijnbeek

57

  Why predicting risk can’t identify ‘risk factors’: empirical assessment of model stability in machine learning across observational health databases Aniek F. Markus, Peter R. Rijnbeek, Jenna M. Reps

58

 Analyzing the impact of COVID-19 on the healthcare system: an OMOPCDM framework applied to Northern Italy  Sara Conti, Matteo Spezia, Carlo Franceschini, Elvira Beato, Roberta Ciampichini, Giacomo Crotti, Dario Montermini, Lorenzo Giovanni Mantovani, Alberto Zucchi

59

 The performance of overlap weighting vs inverse probability of treatment weights to minimize confounding and systematic error in COVID-19 vaccine effectiveness: an empirical evaluation study  Martí Català, Edward Burn, Trishna Rathod-Mistry, Antonella Delmestri, Daniel Prieto-Alhambra, Annika M. Jödicke

60

 Concept extraction from Dutch clinical text Tom M. Seinen, Jan A. Kors, Erik M. van Mulligen, Peter R. Rijnbeek

61

 Assessing treatment effect heterogeneity using the RiskStratifiedEstimation R-package Alexandros Rekkas, David van Klaveren, Peter R. Rijnbeek

62

  The use of data-driven vs. clinical based propensity score in covid-19 vaccine safety research  Xintong Li, Edward Burn, Daniel Prieto-Alhambra

63

 An Iterative Hard Thresholding Method for Patient Level Prediction Models  Mathilde G.I. Tans, Jenna R. Reps, Ross D. Williams

64

  Real-world evidence is in demand: a summary of ‘live’ requests for RWE studies published by a European health technology assessment (HTA) agency  Jamie Elvidge, Ravinder Claire, Shane Collins, Dalia Dawoud

65

  Utilising real-world evidence for health technology assessment: development of a cancer survival use case  Ravinder Claire, Jamie Elvidge, Dalia Dawoud

66

  Learning robust models from limited external statistics  Tal El-Hay, Chen Yanover

67

  Combining real-world and clinical trial data to estimate COVID-19 treatment effects  Ravinder Claire, Christina Read, Jamie Elvidge, Thomas Debray, Dalia Dawoud

68

  External validation of existing dementia prediction models on observational data  Luis H. John, Jan A. Kors, Egill A. Fridgeirsson, Jenna M. Reps, Peter R. Rijnbeek

69

  De-identification of Clinical Notes for Patients with Infectious Disease and Topic Modeling using Latent Dirichlet Allocation  Jimyung Park, Chungsoo Kim, RaeWoong Park

70

  Using geospatial approaches and machine learning for asthma and COPD outcomes: a systematic review  Daniel Jeannetot, Johnmary Arinze, Victor Pera, Peter Rijnbeek, Katia Verhamme

71

  Patient treatment trajectory modeling with Markov chains  Markus Haug, Raivo Kolde, Marek Oja, Maarja Pajusalu

72

  Development of an analytical pipeline for data-driven trend detection in routinely collected health data  Anthony G. Sena, Peter Rijnbeek, Dani Prieto-Alhambra, Sara Khalid

73

  TrajectoryViz: Interactive visualization of treatment trajectories  Marek Oja, Sirli Tamm, Markus Haug, Raivo Kolde

74

  Development of Prediction Models using Deep Learning on Dutch Unstructured Clinical Text  Gyan de Haan

75

  RCTrep: A package for the validation of methods for treatment effect estimation using real world data  Lingjie Shen, Gijs Geleijnse, Maurits Kaptein

 

Software demonstrations

 76

 ARACHNE Network - Federated Study Execution Gregory Klebanov, Alexey Manoylenko, Sebastiaan van Sandijk

 77

 Towards Data Visualization in Cancer Research Using the Oncology Extension: Episodes in Lung Cancer Comparing Synthetic And Real World Data Matteo Gabetta, Francesco Pozzoni, Rita De Molfetta, Tommaso Mario Buonocore, Miguel Pedrera Jiménez, Noelia García Bario, Blanca Baselga Peñalva, María Teresa García Morales, Diego Boscá Tomás, Paula Rubio Mayo, Alberto Tato Gómez, Víctor Quirós González, Luis Gonzaga Paz-Ares Rodríguez, Pablo Serrano Balazote, Jose Luis Bernal Sobrino, Martine Lewi, Jose-Felipe Golib-Dzib

78

 A Prediction Model Library Ross D. Williams, Sicco den Otter, Jenna M. Reps, Peter R. Rijnbeek

79

 Active Pharmacovigilance using Real-World Data: Integrating OMOP-CDM in the PVClinical platform Vlasios K. Dimitriadis, Stella Dimitsaki, George I. Gavriilidis, Christine Kakalou, Achilleas Chytas, Pantelis Natsiavas

 

 

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