

PathLab
High Quality Tissue collection, Digital and Computational pathology
Heads:
Pr. Jérôme Cros, Pr. Valérie Paradis
Objectives
PathLab is an augmented pathology platform integrating AP-HP tissue biobanks, digital imaging, spatial omics, and artificial intelligence, dedicated to enhancing the value of industrial healthcare projects. PathLab offers a one-stop shop for biopharmaceutical companies, medtech and biotech firms, as well as stakeholders specialized in digital pathology and artificial intelligence.
Operator (s)
Technology and expertises
PathLab offers integrated access to extensive tissue collections, including non-tumor, precancerous, and tumor tissues in fresh, frozen, and FFPE formats, through AP-HP’s multi-site biobank network, as well as to advanced tissue models such as ex vivo organotypic tissue slices and organoids. The platform has developed strong expertise in multi-omics technologies and data analysis, particularly for complex spatial datasets, alongside the development of deep learning models that link transcriptomics and imaging at single-cell resolution. These capabilities enable high-throughput characterization of tumor features and the prediction of treatment response.
Services and activities
Tissue Hub for Integrated Access to Tissue Collections
Provides access to human tissues for cohort generation, enabling biomarker discovery across large, well-annotated patient cohorts.
Offers augmented experimental models to assess therapeutic response and enhance translational research value.
Techno Hub for Multiscale, Multiparametric Spatial Biology
Delivers industrial-grade spatial multi-omics analyses for FFPE samples, combined with expert pathology review to identify and validate biomarkers and provide integrated data interpretation.
Provides advanced MRI-based morphological and biomechanical characterization, enhanced by AI, for in-depth insights into tissue architecture and properties.
AI Hub for Computational Pathology
Offers spatial data analysis services integrating multiple technologies, including H&E imaging, MRI, transcriptomics, proteomics, and more.
Develops predictive and prognostic artificial intelligence tools.
Maintains a repository of computational codes, algorithms, and analytical pipelines.
