The CEA combines basic research in biology with cutting-edge technologies to contribute to the advancement of knowledge and provide solutions in the field of health. It addresses several themes that can involve digital technology, including medical imaging, large-scale biology, molecular modeling and in vitro diagnostic medical devices.

In the field of eHealth, its activities and expertise are mainly focused on:

• Data production: Biomedical imaging, genomics, proteomics, metabolomics, etc.
• Interpreting the data generated and modelled, and identifying pathophysiological mechanisms and biomarkers
• Standardisation of data acquisition processes and quality control for those processes
• Bulk data management and processing
• Integration and cross-analysis of heterogeneous data
• Mathematical modeling of complex data associations in systems biology
• Secure exchanges and data confidentiality
• Responsible AI for advanced, recommendation and decision-support functions

The CEA offers a multidisciplinary environment where several scientific communities interact.

Examples of support for the digitisation of the health system's structure:

• Data analysis and decision-support tool for example for a clinic, patients and health professionals, or for the health industry
• Semantic text analysis for exploring a patient's DMP record
• Solutions for trusted networks
• Expertise in cryptography, blockchain, cybersecurity (CEA participation in the ANSM Working Group).

Development of new digital medical devices:

• Automated and embedded biological analysis
• Real-life parameter measurement
• Follow-up therapy e.g. for sleep apnea, dialysis, diabetes

Contribution to the development of new tools for using medical data:

• Identification or development of medical knowledge for integration into digital twins
• Modeling, simulation and decision-support systems for personalised medicine in oncology, neurodegenerative diseases, diabetes, radiotherapy, infectious diseases and vaccines
• Proofs of concept on various application domains in health for example access to distributed medical data, the DMP record, diagnosis, prognosis or prevention, or therapy.

National infrastructures and technological platforms for analysis allowing the production of quality data in the field of "omics" and multimodal phenotype analysis. The CEA coordinates several national infrastructures (IDMIT, NEURATRIS, FLI, Neurospin, France Génomique) and is involved in several others (IFB, FRISBI, MetaboHub, PROFI, Ibisba).


Leading centres and networks in biology and health and large computing and data processing infrastructures such as:

• The CATI, the multicenter neuroimaging platform
• The Joliot Curie Hospital Service (SHFJ) and its facilities and technical platforms
• The CNRGH, a national research centre that can answer scientific questions requiring high-throughput sequencing and genotyping, through the development and implementation of innovative, integrated technologies
• The Genoscope, which develops methods and projects for the exploration of biodiversity, in particular in massive DNA sequencing and bioinformatics
• The TGCC, infrastructure for very high performance scientific computing and big data, operating multi-petaflop supercomputers

N4HCloud: Infrastructure for the storage, processing and analysis of health data for research purposes, connected to the major computing infrastructures hosted at the TGCC – A platform enabling the deployment of research projects in the field of eHealth with the support and expertise of the CEA in various fields (computing/digital, imaging, omics, etc.)

Platforms for technological development and/or validation of digital medical devices By combining sensors from microtechnologies, e.g. development of MEMS or optical sensors, combined with expertise in biology and health to

• Develop portable and automated biological analysis devices
• Deploy sensors for real-life measurements on a human being, especially for monitoring chronic diseases. One of the strengths of the CEA is the development of complete functions from innovative sensors to digital processing in order to identify a medical sign
• Clinatec: For carrying out the design, integration, and (pre)clinical trial phases for innovative medical devices

With a European ecosystem of excellence:

• Hub4AIM: A European alliance in which the CEA is a partner that supports medical device companies to accelerate their development until CE marking is achieved
• EBRAINS is a European platform providing tools and services that can be used to address the challenges of brain research and the development of brain-inspired technologies. Its components are designed with, by and for researchers. The tools help scientists collect, analyse, share and integrate brain data, and perform modeling and simulation of brain function
• FENIX a European research infrastructure providing access to computing resources and integrated services around data
• EIT HEALTH an ecosystem of 150 industrial and academic partners innovating in the field of health for more efficient health systems. The CEA is one of the founding members.
  

• In connection with regional, national and European financing ecosystems

• Research collaborations
• Access to research platforms and services
• Joint laboratories
• Access to regional, national and European innovation ecosystems in the fields of health and digital technology e.g. high-performance computing
• Setting up national and European consortia
• Support for spinning off start-ups from the CEA