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FHU-MOSAIC

The FHU Mosaic (Multiscale Optimised Strategy for Artificial intelligence-based Imaging biomarkers in digestive Cancer ) is a transdisciplinary federation involving a collaborative network of clinical, research and industrial teams. It involves 4 Inserm teams, including 3 from UMRS 1149 CRI: Equipe INDiD (V. Paradis), Equipe LBI (B. Van Beers) and Equipe GeNeHetX (R. Nicolle).

Mosaic aims to identify prognostic and theranostic biomarkers for digestive tumors (hepatocellular carcinomas and digestive neuroendocrine tumors) through the development of a multi-parametric, multi-scale imaging approach, combining radiology (macroscopy), pathology (microscopy and molecular) and nuclear medicine (functional): IMAGOMICS. Using Artificial Intelligence (AI) methods, this project combines the multiple facets of tumor imaging to improve tumor characterization and disease monitoring. In this way, Mosaic contributes to the development of non-invasive diagnostic, prognostic and theranostic modalities through virtual biopsy. Mosaic can be contacted through its project manager K. Mondet via the contact form available on the website.

https://fhu-mosaic.com/