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EUGLOH virtuális nyári egyetem - Biomedical Data Processing and Global Aspects of COVID-19

EUGLOH virtuális nyári egyetem - Biomedical Data Processing and Global Aspects of COVID-19

2020. május 14.
2 perc

July 6th – 10th 2020, organized by University of Szeged (Hungary) with the participation of invited speakers from the member universities of the EUGLOH alliance:

Ludwig-Maximilians-Universität München (Germany)

Lund University (Sweden)

Universidade do Porto (Portugal)

Université Paris-Saclay (France)


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.

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)

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