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Digital twins: what opportunities for industry?

3 episodes

Épisode 1/3

A digital twin of the lungs: what benefits for medicine of the future?

On February 1st, 2023

4 min reading time

Martin Genet

Assistant Professor in the Mechanics Department of École Polytechnique in the MΞDISIM team (INIRIA/IP Paris)

A digital twin is the digitisation of an object and its environment: it simulates the behaviour of a real object in a virtual environment.
By simulating an individual's organ, it allows doctors to facilitate both diagnosis and patient care.
The goal is to customise a generic model by adding the specific data of an individual's organ.
Digital twins of living tissue can be used to illustrate even the interaction of a drug molecule with a sub-network of a DNA molecule.
The digital twin would give doctors the ability to predict diseases and try to prevent them.

Épisode 2/3

On February 1st, 2023

4 min reading time

Anders Thorin

Research Engineer at the Interactive Simulation Laboratory of CEA List

A digital twin is the digitisation of a given object or environment, which in the case of an interactive digital twin can be interacted with.
The CETO software uses this technology to address issues that arise in the maritime industry.
A digital twin allows scenarios to be validated before being implemented in the physical world.
The digital twin brings three major advantages: cost, safety, and reproducibility.
Digital twins not only allow scenarios to be predicted but can also be used to safely train personnel.

Épisode 3/3

On November 10th, 2022

4 min reading time

Claire Biot

Vice President, Life Sciences & Healthcare Industry Dassault Systèmes

A digital twin is a modelled representation, usually in 3D, of a real object.
It is a project that borrows know-how from many disciplines, such as physics, fluid mechanics and chemistry.
They are very useful in the field of health to understand a health condition, define a pathology or test different intervention scenarios.
These advances allow doctors to free up more time to spend with patients.
In 2-3 years, they will have greatly evolved in terms of speed, rendering and results, which will favour their use throughout the medical profession.