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As the culminating event of the three-year EU-funded DRAGON project focusing on SARS-CoV-2 and COVID-19, the conference will bring together experts to discuss clinical networks, the implementation of diagnosis/prediction models – including artificial intelligence – in acute and long COVID, as well as pandemic preparedness.
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This event, held both in-person and online has been developed in collaboration with the European Respiratory Society (ERS) as part of the DRAGON IMI project.
Background
The DRAGON project is coordinated by the University of Maastricht with Radiomics as the Project Lead, and partners comprised of high-tech small and medium-sized enterprises (SMEs), academic research institutes, biotechnology and pharmacological partners, and ELF and ERS. Funded by the Innovative Medicines Initiative (IMI), it will use AI and machine learning to deliver a patient-centred decision support system that will enable stakeholders to participate in the development of rapid precise diagnosis and prognosis.
“The application of digital imaging together with clinical data to inform clinical decisions through artificial intelligence is very exciting. The DRAGON project offers to do this as part of our response to the pandemic.” – Professor Christopher Brightling, event co-chair
What does the conference offer?
The conference programme will consist of interactive panel presentations/discussions focusing on COVID met & unmet needs and solutions and on the results of the DRAGON implementation of new tools.
Who can attend?
The conference is aimed at DRAGON consortium members; as well as high-level healthcare professionals and general practitioners including but not limited to clinicians, scientists, epidemiologists, data scientists and radiologists. Special interests of public health representatives and patient organisations will also be highlighted as part of the programme.
Event Chairs
Christopher Brightling (United Kingdom)
Event Co-Chair
Eva Polverino (Spain)
Event Co-Chair
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