Computational Life Sciences



Transient 3D modeling of blood flow in the aorta with image-based geometry and boundary conditions

Transient 3D modeling of blood flow in the aorta with image-based geometry and boundary conditions.


"In silico medicine will be key for breakthroughs in specific treatment of individual problems."

Prof. James Weaver, MIT, USA




Computational Life Sciences (CLS)

Gaining a comprehensive understanding of the human body requires the simultaneous investigation of molecular-, cellular-, tissue-, and organism-level processes. Computational models can be applied to investigate complex multi-physics and multi-scale systems under various assumptions. 

The in silico tools and models developed at IT'IS are applied to investigate the mechanisms and the dynamics of highly complex biological processes, to design and optimize instruments and methodologies, and to perform treatment planning.

Our research efforts focus on the modeling of various external and internal physical interactions and processes in living tissue and human physiology, including,

At IT’IS, we couple our expertise in bioelectromagnetic research, computational engineering, and regulatory processes to maintain our position at the forefront of Computational Life Sciences. As the complexity of medical devices and specific treatments increases, we are committed to improving our simulation platform and tailor it to the needs of the life science community and the medtech industry by harnessing the power of high performance computing to extend the range of possible simulations and data visualizations and by developing novel diagnostic and treatment tools. 

At the dawn of personalized medicine, our flexible computational models and advanced simulation tools will help advance our understanding of the complex biophysical processes, structures, and interactions of the human body and of human diseases to improve the quality of life of people and extend healthy life years.