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INnovative risk Stratification of heart faIlure throuGH explainable machine learning and compuTational modeling of Left Ventricle

CORDIS · observation · Publication date unknown

INnovative risk Stratification of heart faIlure throuGH explainable machine learning and compuTational modeling of Left Ventricle INSIGHT-LV aims to improve cardiovascular risk prediction by enhancing the evaluation of left ventricle function using multimodal methods. Heart failure (HF) affects over 26 million people globally, with high healthcare costs and hospitalization rates. Current diagnostic tools often fail to accurately predict adverse events, highlighting the need for more effective risk prediction models that integrate diverse clinical data. INSIGHT-LV focuses on two high-risk HF groups: hypertrophic cardiomyopathy (HCM) and COVID-19 patients. HCM, a major cause of sudden cardiac death in young people, lacks updated guidelines and relies on limited predictors. COVID-19 patients show significant cardiovascular risks, creating an urgent need for better risk stratification tools. These two groups represent a substantial part of the HF population

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recordType

award

status

SIGNED

region

EU

value

193643.28

unit

EUR