DIGIT-BIO metaprogramme

DIGIT-BIO

Digital biology to understand and predict biological systems

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Bandeau jumeaux numérique DIGIT-BIO @REZOOmarketing
article

25 November 2024

By: Marjorie Domergue

Overview of actions funded by DIGIT-BIO (2021-2024)

Since its launch in March 2021, DIGIT-BIO has funded 10 interdisciplinary networks, 17 exploratory projects and 2 flagship projects in the field of digital biology. Find an overview of the actions supported by the metaprogramme.
Photo de chenille du maïs © INRAE, Buisson Christophe

How caterpillars perceive gravity is still not known. However, an evolutionary adaptation in the caterpillars of the European corn borer enables these larvae to use gravity information to move down the cob and thus avoid being killed during harvesting. The main aim of this project is to understand how caterpillars use gravity information to orient their movement.

Fermentwin © Freepik

The control of continuous fermentation during production is a major challenge for manufacturers of fermented vegetable juice drinks. With its proposed development of a digital twin that can continuously predict and control the plant fermentation process, the FermenTwin project could provide food technologies with a valuable solution.

bandeau in silicow 2.JPG

By applying the concept of the digital twin at the scale of a dairy farm, the inSiliCow project will develop a multi-scale simulation tool to aid on-farm decision-making with regard to farming practices for dairy cows. The inSiliCow project is a flagship ‘digital twin’ project for the Metaprogramme DIGIT-BIO.

Our goals

The quantitative and qualitative explosion of data in biology, combined with the development of new tools for processing and analysing these data, is revolutionising research in the life sciences. This development opens up new perspectives for better understanding the functioning of biological systems and predicting their behaviour.

The metaprogramme Digit-Bio aim to support research at the interface between computational / engineering sciences and life sciences (biology, physics, chemistry or environmental sciences), in order to:

  • Understand the functioning and predict the behaviour of biological systems
  • Anticipate the impact of stresses on these systems, reason out their management and develop levers for action.  In the medium term, the ambition is to develop a small number of projects for in silico monitoring of biological systems, based on the concept of the "digital twin".

 

Axis schématic DIGIT-BIO © INRAE
© INRAE