Our long-term goal is to contribute to the development of what we call the e-patient (digital patient) for e-medicine (digital medicine).

The personalized e-patient for e-medicine

  • the e-patient (or digital patient) is a set of computational models of the human body able to describe and simulate the anatomy and the physiology of the patient’s organs and tissues, at various scales, for an individual or a population. The e-patient can be seen as a framework to integrate and analyze in a coherent manner the heterogeneous information measured on the patient from disparate sources: imaging, biological, clinical, sensors, …
  • e-medicine (or digital medicine) is defined as the computational tools applied to the e-patient to assist the physician and the surgeon in their medical practice,  to assess the diagnosis/prognosis, and to plan, control and evaluate the therapy.

To achieve these objectives, our research is organized along 5 scientific axes and 2 technological axes.

Scientific axes

  1. Biomedical Image Analysis & Machine Learning
  2. Imaging & Phenomics, Biostatistics
  3. Computational Anatomy, Geometric Statistics
  4. Computational Physiology & Image-Guided Therapy
  5. Computational Cardiology & Image-Based Cardiac Intervention

Technological Axes:

  1. Software Platform for Medical Image Analysis & Simulation
  2. Infostructure for Large Scale Biomedical Data Science

A description of the on-going research projects can also be found in the annual Activity Reports:





Scientific Leader

Nicholas AYACHE
+33 4 92 38 76 61

Team Assistant: Isabelle Strobant
+33 4 92 38 76 60
Fax: +33 4 92 38 76 69


Inria Sophia Antipolis
Epione Research Project
2004 route des Lucioles – BP 93
06902 Sophia Antipolis Cedex