EUGLOH Summer School on Biomedical Data Processing and Global Aspects of COVID-19

Modern information technologies and an overview of the COVID-19 pandemic
Date
06 Jul 2020 10 Jul 2020
Location
Online
Target Group
Students (Bachelor, Master and PhD), junior and senior scientists from all faculties of the five EUGLOH universities
Host
University of Szeged, Hungary

WHAT CAN YOU LEARN?

Participating students are trained by live streaming or video courses in different topics related to the development of transversal skills:

  • (Biomedical) data collection, signal processing and analyses
  • Artificial intelligence and machine learning in
    • Natural language processing
    • Biological image analysis
    • Gene expression analysis
  • Image processing applications
  • From literature knowledge to mechanistic modelling
  • Health data science and management
  • Statistical decision making
  • Dissemination of scientific results

The school covers global aspects of COVID-19 pandemic, including the medical challenges, models for the virus spread, economic and social consequences:

  • Mathematical modelling of the COVID-19 outbreak
  • COVID-19 outbreak: similarities and differences with previous pandemics
  • An economic model of optimal lockdown
  • SARS-CoV-2 and COVID-19: the past, present, and future perspectives
  • Epidemiological aspects:
    • Data collection and interpretation
    • Population testing and tracing
    • Conception and design (illustrated through a current German Coronavirus study)

WHAT PEDAGOGICAL METHODS/TOOLS ARE APPLIED?

Lectures by online video streaming, interactive communication tools, teamwork, networking.

HOW ATTENDENCE IS AWARDED?

EUGLOH Certificate and 4 ECTS will be provided for the students attending the school.

WHERE CAN YOU GET INFORMATION?

General information: eugloh@rekt.szte.hu

Academic program: Prof. Ferenc Peták, Department of Medical Physics and Informatics, University of Szeged (EUGLOH, academic leader of Work Package for Research and Innovation), petak.ferenc@med.u-szeged.hu

Administrative support: Eszter Sasi-Pokriva, sasi-pokriva.eszter@med.u-szeged.hu

  • Programme

    Monday July 6, 2020

    OPENING AND WELCOME

    9:00 – 9:10 Welcome by Vice-Rector for Strategic Planning Márta Széll, University of Szeged, Hungary

    9:10 – 9:30 Introduction by the organizers Ferenc Peták, University of Szeged, Hungary

    DATA PROCESSING, ANALYSES AND MANAGEMENT 1

    10:00 – 10:45 Data Processing and Data Management Activities at ELI-ALPS Lajos Schrettner, ELI-ALPS, Szeged, Hungary

    11:00 – 11:45 Dos and Don’ts of Health Data Science – Theoretical lecture Pedro Pereira Rodrigues, University of Porto, Portugal

    12:00 – 12:45 Dos and Don’ts of Health Data Science – Practical session Pedro Pereira Rodrigues, University of Porto, Portugal

    12:45 – 14:00 Lunch break

    14:00 – 14:45 The Crisis of Statistical Inference: Time has Come for an Epistemologic Reflection Bruno Falissard, Université Paris-Saclay, France

    15:00 – 15:45 Open discussion, socializing, networking

    Tuesday 7, 2020

    DATA PROCESSING, ANALYSES AND MANAGEMENT 2

    9:00 – 9:45 Analogue and Digital Processing of Biomedical Signals Zoltán Gingl, University of Szeged, Hungary

    10:00 – 10:45 Image Processing and Analysis in (Biomedical) Research László Nyúl, University of Szeged, Hungary

    11:00 – 11:45 Natural Language Processing in (Biomedical) Research Gábor Berend, University of Szeged, Hungary

    12:00 – 12:45 Induced Pluripotent Stem Cells Based Models in Parkinson’s Disease Laurent Roybon, Lund University, Sweden

    12:45 – 14:00 Lunch break

    14:00 – 14:45 Open discussion, socializing, networking

    Wednesday 8, 2020

    ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, MODELLING

    9:00 – 9:45 Knowledge curation for COVID-19: natural language processing, biomedical databases and other resources Sonja Atis, Lund University, Sweden

    10:00 – 10:45 Life Beyond the Pixels: Image Analysis and Machine Learning Methods for Single-Cell Drug Discovery Péter Horváth , Biological Research Center, Szeged, Hungary

    11:00 – 11:45 Unsupervised Machine Learning for Gene Expression Analysis – Part 1 Pedro Gabriel Dias Ferreira, University of Porto, Portugal

    12:00 – 12:45 Unsupervised Machine Learning for Gene Expression Analysis – Part2 Pedro Gabriel Dias Ferreira, University of Porto, Portugal

    12:45 – 14:00 Lunch break

    14:00 – 14:45 From Literature Knowledge to Mechanistic Modelling Dénes Türei, EMBL Molecular Medicine Partnership Unit, Szeged, Hungary

    15:00 – 15:45 Open discussion, socializing, networking

    Thursday 9, 2020

    COVID-19 Thematic Day 1

    9:00 – 9:45 SARS-Cov-2 And COVID-19: The Past, Present, and Future Perspectives Lund University Virus Center, Sweden

    10:00 – 10:45 Mathematical Modelling of the COVID-19 Outbreak in Hungary Gergely Röst, University of Szeged, Hungary

    11:00 – 11:45 An Economic Model of Optimal Lockdown Stefano Bosi, UEVE/Université Paris-Saclay, France

    12:00 – 12:45 The European Union as A Complex System in The Time of Black Swan Events Anita Pelle, University of Szeged, Hungary

    12:45 – 14:00 Lunch break

    14:00 – 14:45 Epidemiological and Clinical Aspects of COVID 19 – How Can Population Testing and Tracing Respond to the Global Pandemic Henrique Barros, University of Porto, Portugal

    15:00 – 15:45 Summary, Discussion of COVID-19 Outbreak

    Friday 10, 2020

    COVID-19 Thematic Day 2

    9:00 – 9:45 Molecular biology and immunology of the SARS CoV-2 infection Ernő Duda, University of Szeged, Hungary

    10:00 – 10:45 Epidemiological Studies: Conception and Design (Illustrated Through a Current German Coronavirus Study) Katja Radon, Ludwig-Maximilians-Universität München, Germany

    11:00 – 11:45 Epidemiological Studies: Data Collection and Interpretation Tobias Weinmann, Ludwig-Maximilians-Universität München, Germany

    11:45 – 14:00 Lunch break

    14:30 – 15:45 General Discussion and Feedback, Evaluation of Attendees, Closing of Summer School Ferenc Peták, University of Szeged, Hungary

  • Registration

    Registration is open at: https://u-szeged.hu/about-us/news-and-events/eugloh-summer-school

    Registration deadline: June 15, 2020

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  • Report

    When and where did the event take place? Online event hosted by the University of Szeged on 6-10 July

    Who were the participants and lecturers? Students and staff from all levels from Hungary (University of Szeged), Germany (Ludwig-Maximilians University) Sweden (Lund University), Portugal (University of Porto) and France (Paris-Saclay University). 288 students and 22 lecturers participated in the Summer School and 168 students were successful enough to get their certificates. The lecturers also came from all the 5 universities (10 from USzeged, 3 from UPorto, 2 from UPS, 3 from Lund and 2 from LMU).

    Which were the learning objectives of the event? To educate students for the use of modern information technologies for effective research work and for the dissemination of scientific results from the collected data. Overview of the COVID-19 pandemic, with a special focus on the multidisciplinary research activities at the five participating universities covering all parts of Europe.

    What were the main contents of the event? global aspects of COVID-19 pandemic were covered, including the medical challenges, models for the virus spread, economic and social consequences:

    • Mathematical modelling of the COVID-19 outbreak: COVID-19 outbreak: similarities and differences with previous pandemics
    • An economic model of optimal lockdown: SARS-CoV-2 and COVID-19: the past, present, and future perspectives
    • Epidemiological aspects: data collection and interpretation, Population testing and tracing, conception and design (illustrated through a current German Coronavirus study)

    How did the event take place, which teaching and learning formats and methods were used? Online event livestreamed via the Big Blue Button software applicable in the University of Szeged’s Coospace platform. All participants and lecturers were added to the platform and could follow each presentation online. Each video was uploaded to a specified YouTube channel. Our student board members worked as a support group of the livestream, starting the streams and setting up connection with the lecturers. The lecturers could share both their screens and their webcamera

    In your eyes, what was special about the event? Our favorite comment made by a participant: „Really liked the video. I consider Szeged a place to visit, now. I’m looking forward to a FC Porto – Pick Szeged match, in EHF Champions League. Be wary, we’ll win!”

  • Course evaluation