…will expand research from the Virtual Physiological Human (VPH) initiative to lead pan-European developments in modelling and simulation. A rich assortment of complementary modelling approaches is already available, including 3D (e.g. Navier-Stokes solvers, Lattice Boltzmann approaches), 1D and 0D models of fluid mechanics for cardiovascular and respiratory applications, as well as Finite Element Analysis, Growth and Remodelling frameworks, and Agent-Based Models of structural mechanics for cardiovascular, musculoskeletal and oncological applications.Read more
…will address fundamental computer science challenges related to Modelling and Simulation and In Silico Techniques. The computational and data processing needs of the Centre will require pushing the boundaries of current state-of-the-art HPC and cloud infrastructures. This includes research to align the capabilities of modern computing environments with the computational needs of tools, workflows and institutional systems to deliver patient-specific in silico care on clinically-viable timescales.Read more
The Centre will also work to develop new international healthcare standards, promoting sustainable software development and addressing security/privacy issues – particularly important for medical applications where the strictest regulatory requirements apply.
…will address challenges associated with processing healthcare data, including medical images. Applying tools developed by the Centre both for entire populations and for dense data sources describing individual patients will require further advancement of the state of the art in Big Data processing and close integration with research in Healthcare Informatics.Read more
…will develop the methodology to extend in silico techniques to various aspects of healthcare. Sano will integrate individual in silico patient stratification and treatment planning across many clinical domains, allowing the influence of multi-morbidity to be assessed within the in silico treatment pathway. Our ambition is also to advance the emerging area of in silico clinical trials, by applying modelling and simulation to evaluation of devices, drugs and interventions over enormous trial populations, with HPC infrastructures being leveraged to bring down the required time and cost.Read more
…will address challenges associated with integration of next-generation scientific tools, especially computerized decision support system, with healthcare control systems. The required techniques include theoretical and practical integration methodologies to benefit from systems in widespread clinical use (PACS, Clinical Management Systems, etc.), as well as improving existing procedures to maximise the availability of anonymous data while maintaining its integrity. Read more
…will integrate the five preceding areas into Decision Science: a novel international academic discipline. By introducing a formalised, rigorous structure for the development of fine-grained, evidence-based rules, operating on up-to-date and thoroughly validated input data, it will supplant expert systems as the basis for machine-enhanced decision support. Read more