DC 3 - Integrating data-driven (AI) and physics-based modelling approaches

at  KU Leuven

DC 3 - INTEGRATING DATA-DRIVEN (AI) AND PHYSICS-BASED MODELLING APPROACHES FOR IMPROVED UNDERSTANDING OF FUNCTIONAL BRAIN AGE

(ref. BAP-2024-636)
Laatst aangepast: 23/09/24
In SilicoHealth is an innovative Doctoral Network (DN) with the ambition to train a new generation of outstanding Doctoral Candidates (DC) that will become effective translators of the rapidly evolving digital technology to tackle existing and future challenges related with healthy ageing in Europe. The research focus of this DN lies in three key domains: the brain, heart, and musculoskeletal (MSK) systems. In the realm of digital technology, InSilicoHealth specifically focuses on virtual human twin (VHT) technology to enhance our understanding of the age-related adaptive changes of the complex human body through predictive multi-scale simulations. The research methodology employs knowledge-driven models enhanced by advanced data-driven inference techniques to optimize the health potential of older individuals.
Who are we? The STADIUS-BIOMED research group is one of the world-leading groups developing and validating AI approaches in Healthcare, with applications covering various clinical disciplines.
The group is a friendly, close-knit collaborative team focused on delivering novel innovations into healthcare practice.
We closely collaborate with colleagues in UZ Leuven and with various industry partners, and have prior expertise in deploying methodology in clinical applications.
(https://biomed-kuleuven.web.app/; https://scholar.google.com/citations?hl=nl&user=xTjDXdQAAAAJ)
Website van de eenheid

Please refer the Job description for details