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Conferences DARGON Conference

DRAGON conference: lessons learnt from COVID-19

As the culminating event of the three-year EU-funded DRAGON project focusing on SARS-CoV-2 and COVID-19, the conference brought 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.

Challenges of data collection and sharing

Session type: Interactive Panel

Data collection for AI model development - Data sharing vs. data protection - Standardized data structures

Ian Selby - University of Cambridge (Cambridge, United Kingdom), Kit Howard - CDISC Europe Foundation (Brussels, Belgium), Victor Stoimenov - MedTech Europe (Brussels, Belgium), Rebekah Penrice-Randal - Top MD (Southampton, United Kingdom)

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Data collection for AI model development - Data sharing vs. data protection - Standardized data structures

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DRAGON conference: lessons learnt from COVID-19

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