Exascale Framework for Digital Twins of the Human Body
dealiiX is a pioneering project aimed at developing a scalable, high-performance computational platform using the deal.II library to create accurate digital twins of human organs.
Recent NEWS
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AI in Healthcare at the Heart of EU Policymaking
On 24 September 2025, Professor Liesbet Geris from our partner VPH had the honour of presenting in the SANT Committee of the European Parliament on…
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dealii-X drives progress in biomedical modeling and HPC
Our Ruhr University Bochum colleagues welcomed Dr. Michele Bucelli (Politecnico di Milano) at their University for three days of scientific exchange and collaboration. Michele gave a talk on “An…
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dealiiX at ICOSAHOM 2025
We’re proud to share that Prof. Andrea Cangiani from our partner institution, SISSA will be speaking at the International Conference on Spectral and High-Order Methods…
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New Industrial PhD Program in High-Performance Scientific Computing Launched at University of Pisa
We announce the launch of a new interdisciplinary Industrial PhD Program in High-Performance Scientific Computing (HPSC) at the University of Pisa, starting in November 2025….
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dealii-X at ISC High Performance 2025
Our colleague Martin Kronbichler (Ruhr University Bochum) is representing the dealiiX consortium at the 2nd Workshop on Readiness of HPC Extreme-Scaling Applications, part of ISC…
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Heading to Coupled Problems 2025 in Villasimius!
Several dealiiX researchers actively participated in the Coupled Problems Conference (May 25–28) in Villasimius, Italy. This event is a key gathering for the computational science…
Explore More!
Use case
Simulation of airflow in the human lung
Simulation of airflow in the human lung coupled to gas exchange processes through fully resolved coupled Navier-Stokes / poromechanics models for capturing pathologies at full scale.

Use case
Digital Twin of the human liver
Development of a digital twin of the human liver through multiscale representations of the vascular structure by effective biomechanical properties to enable data-driven enhanced personalization.
Use case
Simulation of brain tissue mechanics
Simulation of brain tissue mechanics through refined nonlinear routines for inverse parameter identification and related problems in the study of physiological and pathological scenarios.
Use case
Simulation in cardiac computational medicine
Simulation in cardiac computational medicine by multiscale and multiphysics models with extreme spatial and temporal resolution to gain novel insights.

Lighthouse applications representing crucial processes in the human brain, the cardiovascular and respiratory systems as well as the liver will be tackled to gain new insights into biological processes of the human body and aiding in personalized medicine.
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