Field of Expertise: Simulations and Computing
Simulations and Computing
CERN is tackling the challenges of collection, storage and processing of ever-larger data sets, expertise which benefits the medical field. Simulation codes, developed for HEP, have become vital when modelling the effects of radiation on living tissues.
CERN Technologies
An open-source software platform to easily create, run, and visualise 3D agent-based simulations
BioDynaMo
C2MON is a modular Java framework for fast building, highly available, large-scale industrial monitoring and control solutions.
CERN Control and Monitoring Framewo...
A fully integrated particle physics MonteCarlo simulation package
FLUKA
A toolkit for simulating the passage of particles through matter.
Geant4
ROOT is a general-purpose framework that provides an object oriented set of tools with all the functionality needed to handle and analyze large amounts of data in an extremely efficient way.
ROOT
Funded Projects
Success Stories
A team of experts from CERN shared their expertise on machine learning with Sanofi Pasteur, the vaccines business unit of Sanofi, a global life sciences company.
The initial collaboration has now become an international initiative called Circular Health, looking at both technical and data governance aspects.
The CERN openlab project BioDynaMo aims to establish a high-performance, general-purpose platform, through which life scientists can easily create, run, and visualise three-dimensional biological simulations.
In 2016, there were eleven requests for FLUKA licences. Mainly from companies performing shielding studies, but also from some in the field of safety, inspection and auditing that requested the technology, as well as companies working in radio-protection related to dismantling activated industrial facilities.
FLUKA is a particle transport and interaction simulation code, originally developed by CERN and INFN for particle physics, which finds applications in a wide range of other domains including medical.
GeneROOT uses a data-processing framework developed at CERN for the high-energy physics community, to analyse large genomics datasets.
In 2016, CERN and the University of Bath released a new shareware toolbox for fast, accurate 3D X-ray image reconstruction with applications in medical imaging for cancer diagnosis and treatment.