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Home > TERATEC FORUM > Workshops
Workshop 02 - 9:00 to 12:30 pm
HPC Technologies and Health
Chaired by Daniel Verwaerde, co-founder and president, Teratec
© TERATEC 2022
Due to the complexity of systems used in Biology and the evolution of patients' expectations in terms of care treatment, the Health sector is about to become one of the most important users of High-Performance Digital Technologies, whether for Digital Simulation, processing of massive data or for Artificial Intelligence possibly coupled.
This workshop provided an opportunity to take stock of some recent advances in the application of these technologies to healthcare, in addition to focused uses in recent years such as digital twins and telemedicine. It was also an opportunity to apprehend those fields where the use of digital technology should allow Medicine to achieve breakthroughs in the near future.
The exceptional scale of the COVID 19 epidemic has more than accelerated the use of epidemiological models with their predictive nature, thus enabling governments to control the virus spreading thanks to the anticipation these models provide for building and adapting healthcare policy. A second generation of models, based on much more data and even more detailed description of the context, is being developed to improve the reliability of forecasts. This new generation will require the use of the most powerful supercomputers in order to obtain results within timeframe compatible with the decision deadlines.
Through the other presentations, it became clear that modeling, simulation and digital image processing are now part of the tools used in the field of healthcare to understand the behavior and functioning of cells and organs. One evidence-based application was illustrated with a material mechanics model resolved by finite elements to understand the human heart behavior in particular when certain parts have been injured. Given the complexity of human brain, Neuroscience has made great progress in recent years thanks to the improvement of "in vivo" or "post-mortem" imaging and to the intensive use of information technologies that have become indispensable for analyzing these images and, more globally, the large quantities of data now being accessible.
Finally, in the clinical field, practitioners should be able to be strongly assisted in the next few years in formulating a diagnosis thanks to the use of software based on artificial intelligence installed on their workstations. In oncology, for example, artificial intelligence has demonstrated its great potential for sorting out, among those cells making up a tissue that are the signature of cancerous tumors. Even if the practitioner will remain the expert to ultimately form a diagnosis, the use of AI will save him precious time and allow him to increase reliability and replicability of his opinions.
With the development of medical uses still in infancy, access to large multi-technology platforms and supercomputers seems inevitable to tackle the challenges of tomorrow's medical research. Some of these challenges are infinitely complex indeed due to the compartmentalization, size and limited budgets at disposal of work teams. Mutatis mutandis, life sciences need an organization and resources similar to those devoted to CERN for elementary particles.
With the participation of:
 IntroductionDaniel Verwaerde, co-fondateur et président, Teratec |
Simon Cauchemez, Infectious disease epidemiologist and modeller, Institut Pasteur |
| Modeling of the COVID-19 epidemic spreading within a realistic urban geography Nicolas Gilet, research engineer, Inria |
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Abstract & Biography
Abstract & Biography