University of Poitiers

Its main thematic axes are therefore the creation of mathematical models inspired on digital information from bio imaging systems (MRI, CT, ultrasound...), digital image content processing and analysis,  Artificial Intelligence for health data  (virtual biopsy and digital twin),  

Since its creation in 2017, this research structure has raised around €5M and produced over 250 publications (Scimago, Google, PubMed…). The involved researchers have a strong experience in cooperative academic  projects with companies (Siemens, Philips, Toshiba)

The medical-technical platform consists of five scanners, including one spectral (iQon), and six MRIs, including the only 7T MRI performing clinical activity in France (1st clinical activity worldwide since 2020, with more than 5000 patients), two 3T MRIs, including one intraoperative platform. Clinical activity is shared with research on state-of-the-art equipment (IQon, 7T and 3T intraoperative).  https://www.chu-poitiers.fr/specialites/irm7tesla/

The Laboratoire CoMeT, UR 24 334

Located within the Biology and Health Hub of University of Poitiers, the CoMeT laboratory is a research unit (UR 24 334) established on Janueary 1, 2023, and affiliated with the faculty of fundamental and Applied Sciences.

As its acronym suggests (Cell Communication and Tumor Microenvironment), the laboratory focuses on the interactions between cancer cells and their tumor microenvironment, and how these interactions contribute to tumor progression. More specifically, CoMeT's research activity relies on the expertise of its members in intercellular communication via diffusible factors (neurotrophins and their TRK receptors), vesicular transport (extracellular vesicles, exosomes), and direct communication (gap/communicating junctions). Special attention is given to the synergistic interactions between these communication systems and their role in enhancing the invasive potential of tumor cells through the formation of exosomes and/or invasive structures such as invadopodia.

The laboratory's research benefits from the diverse expertise of its members (biochemists, cell biologists, physiologists), covering all essential aspects of investigations from molecules to the whole organism. These studies are conducted at complementary levels, ranging from in silico analyses using bioinformatics databases, to in vitro experiments, and patient sample analysis through spatial biology approaches. This website provides an in-depth look into the organization of the team, its members, research themes, the approaches used to address them,a s well as our collaborations with other laboratories at the local, regional, and international levels. It also offers insight into the laboratory's life through its events and scientific output.

As contributors to cancer research in poitiers, and as educators involved in all levels of life Sciences degrees, Master's programs in biology-Health and Health Engineering (Faculty of Fundamental and Applied Sciences), and the Pharmacy curriculum (Faculty of medicine and Pharmacy), we are available to answer any questions related to our research and the training programs we offer. https://comet.labo.univ-poitiers.fr/ 

The XLIM laboratory , UMR CNRS 7252

A multidisciplinary research institute, created by the association of several laboratories in 2008, whose supervisory bodies are the CNRS, the University of Limoges and the University of Poitiers. Within XLIM, the ASALI axis is a research structure of the XLIM Institute dedicated to image synthesis and analysis. The scientific challenges are the design of complex objects structured in arbitrary dimensions, the modelling and processing of colour and spectral information in images and videos, and realistic image synthesis based on procedural models, whether statistical or physical. Within the ICONES team, research activities are organised around the processing of multivaried, colour and spectral information in images and videos. This is broken down into the following three themes:

• Multivalued image representation models

• Optical metrology

• Perception and quality assessment 

The strength and originality of this team lies in the fact that it works on the entire 'life chain' of digital imaging, with the structure of complex objects, the study of multivaried, colour and spectral images, from their acquisition to the assessment of the quality of renderings, via various processing operations. 

This global approach is unique among other French and European laboratories working on digital colour and/or image quality assessment. In recent years, the team has focused on two major areas of application: heritage imaging and biomedical imaging.

XLIM/ASALI is associated with the joint I3M laboratory (Imagerie Métabolique, Multi-noyaux, Multi-organes; CNRS-SIEMENS Healthineers), which is developing the tools needed for molecular and metabolic imaging at very high anatomical resolution of organs, particularly the brain (a combination of mathematical models, advanced imaging techniques and artificial intelligence).

The Laboratoire de Mathématiques de l'Université de Poitiers, LMA, UMR CNRS 7348

It brings together all the mathematics researchers at the University of Poitiers. It comprises four teams about Algebraic Geometry, Analytic Geometry, Lie Theory ;  Partial differential equations and applications;  Probability, Statistics and applications and DACTIM MIS (Mathematics, Imaging and health Sciences). Its twofold aim is to develop fundamental research in mathematics and to promote applied research, giving priority wherever possible to interaction with the experimental sciences. In addition to mathematicians, it has recently included medical doctors.

In particular, the aim of the Dactim-MIS team is to extract multiparametric information from medical imaging tools such as MRI, CT and PET scans. The first theme concerns the use of multimodality imaging to develop predictive and prognostic models to guide the therapeutic management of patients in oncology and various neurological pathologies. The expertise of the group's NMR players in multinucleus imaging has enabled them, in collaboration with mathematicians, to develop descriptive biological models of cerebral metabolism applicable to various pathological conditions, in particular brain tumours, based on the concept of the neuro-astrocytic lactate shuttle. Several of their biomathematical publications on lactate transporters have been echoed in recent publications relating to ex vivo experiments, thus confirming the relevance of the approach adopted.  Similarly, a new approach to analysing PET images with parameter extraction (active tumour volume, parameters derived from texture analysis) has been shown in retrospective clinical studies to be relevant for predicting patient outcome in different cancer models.
 The team contributed to the creation of the joint CNRS-company laboratory I3M, with SIEMENS healthineers, the Universitary Hospital and the University of Poitiers.