Exploration intelligente de lames histologiques

Project Summary

The rapidly emerging field of computational pathology needs new paradigms and tools coming from computer sciences in the broadest sense of the science. Our team is developing many projects in the field including setting up international challenges (like TissueNet : detect lesions in cervical biopsies hosted by French Society of Pathology and Health Data Hub in collaboration with Driven Data). The ultimate goal is to be able to provide objective diagnosis, therapeutic response prediction and identification of new morphological features of clinical relevance within the next decade. The team has a pending patent in the field and is part of a phase 2 clinical trial for immuno-therapy as a digital companion test (starting April 2021). We are involved in the community of the French Society of Pathology and will start a PRT-K project for translational clinical research in oncology.

In our team, we believe that the next step will rely on the integration of the computer vision/machine learning pipelines into the clinical setting. We already start to get a good deal of annotated WSI (gigapixel whole slide images ‘WSI’ for each patient/exam) by experts and collaborations with hospitals. We need to go the next step right now :

as a data science playground, we need to explore deep learning architectures to perform seamless exploration of all the data annotated across various tissues and markers to propose a scaling pipeline of processing and sharing of data among researchers and clinicians;
the integration with genomic data will also be of utmost importance in the coming decade either to validate theory in life sciences based on the observation of tumoral micro-environment or to predict genomic class based on phenotypic observation at the tissue level (publication submitted in our team in Journal of Hepathology);
how to integrate these paradigms (for physicians) into the concept of the XX1st century microscope made possible with the advent of these new high-throughput high resolution scanners possibly with multiple markers.

LIPADE | LIPADE (parisdescartes.fr)