Imaging strategies - Near patient tests (biomarkers) - Prediction models - How do we establish monitoring strategies - DRAGON 2023

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.

Panel: Acute COVID - diagnostics and prediction

Session type: Interactive Panel

Imaging strategies - Near patient tests (biomarkers) - Prediction models - How do we establish monitoring strategies

Mariaelena Occhipinti - Radiomics (Liège, Belgium), Guang Yang - Imperial College of London (London, United Kingdom), David Edge - IMI-KRONO (Kimbolton, United Kingdom), Ian Selby - University of Cambridge (Cambridge, United Kingdom), Rebekah Penrice-Randal - Top MD (Southampton, United Kingdom)

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Imaging strategies - Near patient tests (biomarkers) - Prediction models - How do we establish monitoring strategies

CDN Connection Issue

DRAGON conference: lessons learnt from COVID-19

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