The development of sex-specific prediction models for cardiovascular and neurological health

Status Ongoing
Start date 2021
Location Quebec
Researcher Gagliano Taliun, Sarah
Associated institution Institut de cardiologie de Montréal and Université de Montréal
Summary

Cardiovascular disease remains one of the leading causes of death, but its risk factors, symptoms, and progression can differ between women and men. This project aims to develop new cardiovascular risk prediction models that account for these differences by combining artificial intelligence, genetic data, and clinical, social, and environmental factors. Using data from large research cohorts, including CARTaGENE, the research team is identifying genetic factors that may influence cardiovascular risk differently according to sex and integrating them into models designed to improve individual risk prediction. Recent work has also shown that some cardiovascular conditions, such as myocardial infarction and stroke, differ between women and men in terms of diagnostic agreement and the performance of certain genetic risk scores. These findings may contribute to the development of more accurate prevention and screening tools and support a more personalized and equitable approach to cardiovascular health.

Themes
  • Genetics and genomics
  • Public health and epidemiology
Data types
  • Biochemical and hematological data
  • Genetic data
  • Linked data
  • Physical and cognitive measures
  • Questionnaire data

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