SOURCE-LINKED INTELLIGENCE

Long-term alterations of host-microbiome interactions and cardiovascular and respiratory diseases progression after pneumonia

CORDIS · observation · Publication date unknown

pneumonia and matched patients who had not developed pneumonia during a prospective 3-year follow-up. We will analyze longitudinal samples collected in these populations and develop new algorithms by artificial intelligence to associate host-microbiome interactions with CVD progression. We will also demonstrate the causal link between CVD progression and host-microbiome interactions in preclinical pneumonia models. The interdisciplinary and ambitious Homi-lung project brings together 8 partners from 5 EU countries, with expertise in pneumonia, CVD, immunology, microbiome, and artificial intelligence and is uniquely placed to reach these objectives. Impacts. The project will provide clinicians with robust evidence contributing to identifying patients at risk of CVD after pneumonia. By developing new biomarkers and preclinical validating treatments to TRL4, the project will contribute to improving patients’ recovery and reducing the burden of infections. This project, particularly timely after the COVID-19 pandemic crisis, will also increase European preparedness for the next pandemic

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recordType

award

status

SIGNED

region

EU

value

6999983.25

unit

EUR