Junior Professor Chair position at PRISM, Lille

  • CDD
  • Lille
  • Les candidatures sont actuellement fermées.

PRISM INSERM U1192, University of Lille

Host Institution: INSERM
of the host institution: Gilles BLOCH
institutions/organizations: University of Lille
name: intraoperative mass spectrometry for precision health
: mass spectrometry, metabolomics, imaging, clinical, surgery
: 3 years
panel: Health Technology
section/CoNRS/corresponding CSS: CNU 31 or 85, Inserm CSS7

The Chair project is dedicated to the development of intraoperative mass spectrometry for precision
medicine in line with the developments realized at PRISM on in vivo mass spectrometry. Intraoperative
mass spectrometry is a game changer for clinical applications including surgery and pathology and is
expected to create a paradigm shift in the clinical practice. This research field is well positioned within
the Health Technology Institute and has been identified as strategic research to support the
development of the next generation surgical rooms. Additionally, the thematic is identified to be in the
priorities of Lille University Excellence Hub (ISite) “Precision Health” has demonstrated by the funding
support given. It has also been targeted in the CPER 2021-2027 TECSANTE, which focuses on
technological innovation in the service of acute and chronic precision health, where it will receive
funding for equipment. At the university level, this line of research will be an integral part of the
Engineering & Health project, positioned at the interface of the “precision health” and “digital world at
the service of humans” hubs, with the objective of offering the community new disruptive tools to
answer clinical questions.

Intraoperative mass spectrometry is a new disruptive field of research offering an in vivo and realtime
of molecular data to guide the physician in its decisionmaking during surgery through the
of molecular digital twins. It is thus intended to be a new tool for in vivo diagnosis and decision
in surgery in the context of precision medicine. In solid cancer surgery, for example, it has
shown that patient survival is closely linked to the quality of the surgery and unfortunately up to
of patients must undergo a second operation due to positive margins. Intraoperative mass
technology allows to collect in realtime molecular profiles that are specific to the cell
and subtypes analyzed. These molecular profiles can be associated to specific cell phenotypes
cancerous, or inflammatory) though machinelearning or deep learning. The project focuses on
development of intraoperative mass spectrometry, its miniaturization to allow analyses in minimally
surgery (e.g., endoscopy), its automation by robotization and the integration of augmented

Detailed offer here.