Three DES and DRF laboratories have developed an innovative Machine Learning algorithm to improve the reconstruction of PET images acquired as part of the ClearMind project, a technology based on the detection of gamma photons by a monolithic lead tungstate crystal detector. A step towards more accurate PET imaging

A BioMaps team has used PET imaging to monitor glucose metabolism as a marker of the cerebral impact of smoking cessation, as well as the effects of a promising drug-candidate for the treatment of such cessation. By revealing the restoration of normal activity in the brain area associated with craving, these results offer hope for smoking cessation in humans

A team from BioMaps (SHFJ) measures for the first time the in vivo local mechanical properties at play in a muscle (elasticity, anisotropy, non-linearity) using a non-invasive method, ultrasonic shear wave elastography. The originality of the approach lies in its ability to perform such measurements in a so complex tissue.

Researchers at BioMaps have developed a "re-bridging agent" for the radiolabelling of biomolecules containing disulphide bridges. Their strategy has enabled several molecules of therapeutic interest to be labelled with fluorine-18, copper-64 and zirconium-89.

A team from BioMaps (SHFJ), in partnership with the Gustave Roussy Institute, has used immunoPET imaging to assess the influence of tissue distribution on the efficacy of cancer immunotherapy, administered intra-tumor and intravenously in mice. Intratumoral administration is more effective and reduces overall exposure of organs at risk