Health transition

IMT Atlantique covers a broad spectrum in the field of engineering for health. This ranges from the design and development of medical devices such as the study of radio-elements produced with the ARRONAX cyclotron, or XEMIS for 3-photon gamma imaging or the connected knee prostheses developed at the RHU FellowKnee, to the development of diagnostic radioisotopes.


The theme also includes the modeling of new e-Health solutions from the economic perspective in terms of societal impact, to the evaluation of medical technologies and innovation in the organization of health services. Finally, our work focuses on digital medical data security, data science and medical decision support, interventional surgery support via image processing and augmented or virtual reality, as well as functional or orthoptic rehabilitation.


  • Santé du futur
  • Santé du futur - Tesmarac
  • Santé du futur - connectée
  • Santé du futur - prothèse
  • Santé du futur - données
  • Santé du futur - Cyclotron

Research Consortia (Chaires)

Some partners

  • GIS BEACHILD, child rehabilitation
  • GIS VITTORIA, Big data & health
  • LabEx CAMI, CominLabs, IRON
  • LabCom ADMIRE with Evolucare Technologie, SEPEMED with MEDECOM, TESMARAC with Triskem International
Research projets
Ongoing project
Séparation en Masse couplée à l'Ionisation Laser pour des applications Environnementales et en Santé
Projet CPER
Ongoing project
Home service Operations Planning with EmployeeS preferences and uncertainty

The HOPES project funded by the ANR 2021 with 270 KE is led by a young researcher RESTREPO RUIZ Maria-Isabel on the planning of work schedules and employee rounds over a multi-period horizon for home-based services. HOPES will propose innovative decision support tools to solve these complex problems by taking into account work rules, individual preferences and different sources of uncertainty. To do so, we will rely on the formulation and design of new optimization approaches integrating techniques from data science and deterministic and stochastic optimization. Instead of proposing a method that works only for a specific application, HOPES aims to propose a general framework that can be extended to solve different variants of the problem. The decision support tools developed are expected to improve the quality of service for users, the well-being of employees, and to improve the planning and execution of home service operations.

Ongoing project
Privacy Aware and Privacy Preserving Distributed and Robust Machine Learning for Medical Applications

While machine learning (ML) can lead to great advancements with respect to digital services and applications in the field of medicine, the training process based on real medical patient data is blocked by the fact that uncontrolled access to and exposure of such assets is not allowed by data protection legislation. The EU-funded PAROMA-MED project aims to develop novel technologies, tools, services and architectures for patients, health professionals, data scientists and health domain businesses so that they will be able to interact in the context of data and ML federations according to legal constraints and with complete respect to data owners rights from privacy protection to fine grained governance, without performance and functionality penalties of ML/AI workflows and applications.

Horizon Europe
Ongoing project
e-VITA, EU-Japan virtual coach for smart ageing
EU-Japan virtual coach for smart ageing

The overall objective of e-VITA is to improve well-being in older adults in Europe and Japan  and thereby promote active and healthy ageing, contribute to independent living, and reduce risks of social exclusion of older adults. The multidisciplinary consortium collaborating in this project will develop an innovative ICT-based virtual coaching system to detect subtle changes in physical, cognitive, psychological and social domains of older adult’s daily life. The e-VITA virtual coach will thus provide personalized recommendations and interventions, for sustainable wellbeing in a smart living environment at home.

Horizon 2020
Ongoing project
Build digital twins of a critical subsystem composed of humans and cobots in a collaborative task for application in the smart factory of the future

Industry of the Future is characterized by smart automation and connectivity, flexible and adaptive processes, as well as sustainable manufacturing practices.

To realize this ambitious vision, system models that aggregate individual digital models of components or subsystems (digital twins) and processes need to be developed to enable companies to meet the demands of the new industrial economic paradigm. The term “digital twin” is recent but the underlying concepts are not new. Digital twins have been shown to provide real benefits to the production life cycles of companies.


Projet Carnot ou Inter-Carnot
Ongoing project
Modelling the Induction of Social Stress in Immersive Virtual rEatity Simulations

Social anxiety is a global problem with significant personal and societal costs. Virtual reality makes it possible to consider new treatment alternatives, in particular for exposure therapy: a practitioner can gradually confront patients with the situations that are problematic to them. In this context, it is important to afford fine control over the stress experienced by the patient in these virtual situations. However, the parameters - and their interactions - influencing the amount and nature of the stress experienced in these interactions are still poorly understood.

Projet ANR
Ongoing project
The first ever existing EEG contrast medium, able to provide imaging of the entire brain and in a non-invasive way

Imaging the brain activity is fundamentally important for many brain-related scientific disciplines.

Horizon 2020