The Personalisation of Cardiovascular Models Using Julia

Explore a comprehensive conference talk on personalizing cardiovascular models using Julia programming language. Delve into the critical issue of cardiovascular diseases as the leading global cause of death and the challenges in integrating in silico models into clinical practice. Learn about advanced computational data assimilation techniques, including Zero-dimensional (0D) models and their application in mapping physiological variables. Discover how structural identifiability analysis, sensitivity analysis, and parameter orthogonality analysis contribute to enhancing the precision of personalizing complex cardiovascular models. Examine the computational workflow that bridges clinical practices with in-silico investigations, highlighting Julia's role at each stage of the personalisation process. Gain insights into overcoming challenges such as parallel simulations on varying data types and accessing observed variables from ModellingToolKit.jl. Understand the impact of this novel workflow in identifying optimal bio-markers for cardiovascular personalisation, ultimately empowering clinicians to provide tailored patient-specific treatments and improve cardiovascular diagnosis and patient outcomes.