Description du projet
Simulation des maladies non transmissibles
Les jumeaux numériques applicables à la santé sont des modèles très complexes qui utilisent l’IA et de grandes quantités de données numériques et physiques pour reproduire la physiopathologie des maladies et simuler de nouveaux traitements ou organes. La réalité s’avère toutefois plus complexe, et lorsqu’il s’agit de maladies non transmissibles (MNT) touchant les organes principaux, telles que l’arthrose et la discopathie dégénérative, il est difficile de reproduire in silico les mécanismes complexes sous-jacents. Ces modèles exigeraient l’intégration de données mécanistes, biologiques et réelles à plusieurs échelles. Financé par le Conseil européen de la recherche, le projet O-Health vise à élaborer des modèles mathématiques des MNT courantes en combinant des informations à l’échelle cellulaire/moléculaire et à celle des tissus/organes.
Objectif
Non-communicable diseases (NCD) that involve load-bearing organs emerge silently according to complex mechanisms that are likely to involve inter-disease systemic communications. Clinical explorations cannot apprehend such intricate emergence, but I postulate that multiscale in silico models can. The digital twin for health has progressed a lot in the last decades, but multi-disease transversal modelling has not happened. It requires unique developments to couple small to large-scale model components with appropriate balance of phenomenological and mechanistic approaches, to cope with overwhelming biological complexity, preserve interpretability and incorporate real-world data. This is the niche of O-Health that proposes a scalable ecosystem of multiscale NCD models interrelated through a systemic model of low-grade inflammation. The project tackles such vertical and transversal physiology-based computational modelling through four major NCD, lung emphysema, atherosclerosis, intervertebral disc degeneration and knee osteoarthritis that affect load-bearing organs at different anatomical locations. The cellular /molecular scale components of each NCD model will vertically share predicted variables with an interface model of endothelial cell dysfunction that communicates with a transversal model of body-wide systemic communications. The O-health ecosystem will be modular and interoperable. Mechanistic modelling will be covered by finite element models at the organ /tissue scales and by agent-based (AB) models at the cell /molecular scales. AB models will incorporate high-level interaction graphs for interpretable phenomenological modelling where necessary. Graphs will merge knowledge projection and correlation models extracted from longitudinal population cohort data, also used to evaluate O-Health. Interoperability will be ensured through standard languages such as Field and Systems Biology Mark-up Languages, enabling the scalability of the O-Health ecosystem.
Champ scientifique
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Régime de financement
ERC - Support for frontier research (ERC)Institution d’accueil
08002 Barcelona
Espagne