UMR LIP6 and BodyCap launch their labcom ICI-lab, to screen for intestinal diseases

LIP6, a joint research unit of Sorbonne University and CNRS, and the company Body CAP have created a joint laboratory “Embedded Artificial Intelligence and Ingestible Capsules Lab” (ICI-lab) in collaboration with SATT Lutech, one of the Acceleration of the Transfer of Technologies created within the framework of the Future Investments Program (PIA), to screen for intestinal diseases.

Founded in 2012 in Caen, Normandy, BodyCap has focused its activity on the development of miniaturized sensors to facilitate the monitoring of physiological status. Its team brings together, among other things, skills in the development of communicating sensors and the industrialization of complete monitoring solutions. Its applications are integrated in the health sector but also in the fields of research, high-level sport and the military.

In particular, it has developed eCelsius Medical, a miniaturized electronic capsule that is simply swallowed and then transmits continuous core temperature data and eCelsius Performance for monitoring gastrointestinal temperature.


LIP6 is a computer science research laboratory dedicated to modeling and solving fundamental application-driven problems, as well as implementing and validating solutions through academic and industrial partnerships.

Research within its 20 teams revolves around four transversal axes:

  • Artificial Intelligence and Data Science;
  • Architecture, systems and networks;
  • Theory and mathematical tools for computer science.

At the local level, he is very active within Sorbonne University where he promotes transdisciplinary collaboration between laboratories and is strongly involved in two major initiatives of Sorbonne University: SCAI (Sorbonne Center for Artificial Intelligence) launched in 2019, and QICS ( Quantum Information Center Sorbonne), launched in 2020, of which it hosts the premises.

The LIP6 – BodyCAP collaboration

The LIP6 Cyclope project, led by Bertrand Granado and Andrea Pinna, both from Sorbonne University, aimed at developing an endoscopic capsule equipped with AI for the early detection of colorectal cancer was the winner of the CNRS prematuration program in 2020 and has could benefit from its financial support.

This enabled the LIP6 laboratory to collaborate with BodyCAP on a co-maturation project, financed by SATT Lutech, in order to carry out a proof of concept and to set up a strategy for the transfer and industrial valuation of assets from the laboratory. .

They responded to the LabCom ANR call for projects in 2021, their joint laboratory project “Embedded Artificial Intelligence and Ingestible Capsules”, ICI-lab, is among the winners of the second wave.

ICI-lab has two objectives:

  • Open up new R&D opportunities for breakthrough innovations, using AI for automatic image processing to detect and characterize polyps;
  • Integrate new sensors (gas, pH, microbiota) within the videocapsule in order to characterize the explored environment, i.e. the intestine.

At the same time, SATT Lutech will manage all the legal and intellectual property aspects.

Research within ICI-lab

The work carried out within the ICI-lab will concern the integration of digital processing, from low to high level, within videocapsules to produce new generation medical devices allowing:

  • to automate the processes of analysis and interpretation of the images of the
    intestinal tract;
  • to support the medical teams in establishing a diagnosis;
  • to improve patient follow-up in gastroenterology.

These treatments will range from the automatic extraction of regions of interest, to the recognition of pathology markers and will be based on AI algorithms, in particular deep learningvector support machines and decision trees.

Concretely, this labcom aims to study, design and validate intelligent endoscopic videocapsules. BodyCAP and LIP6 are pooling their industrial resources and assets to develop an in vitro test and validation platform using an intestinal biomechanical simulator. These tools will make it possible to create a unique test environment to validate, on a real scale, in an artificial environment, the devices designed.

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