SOURCE-LINKED INTELLIGENCE

Decision support for prediction and management of Long Covid Syndrome (LCS)

CORDIS · observation · Publication date unknown

edisposing factors and biomarkers that lead to the development of LCS. We will collect data from the cohort, mechanistic, biomarker and interventional studies and use these to validate the predictive artificial intelligence algorithms and to produce information and gain understanding on the combination of factors that lead to certain clustering of patients into different groups with specific symptoms. A machine learning and AI-informed Long Covid Prediction Support (LCPS) tool will be developed for the use of clinicians to predict the LCS and its possible clinical manifestations in patients. It will also help in the choice of personalized treatments for LCS patients. Additionally, an interactive graphic user interface infographic will also be available to clinicians and patients; this will communicate novel and understandable information about LCS and recommendations for patient management. Virology, Serology, Immunology, Psychology, Genetics, Lipidomics, Metabolomics, Antibody epitope screening, AI-driven prediction support tool, Interventions

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

6549673.69

unit

EUR