Imaging the dynamics of organ fibrosis

Fibrogenesis imaging in man with novel PET-PDGF probes enabling real-time fibrosis activity assessment

Lars Johansson, Chief Scientific Officer, Antaros

Abstract: TBD

Fibrotypes as dynamic systems: imaging and classifying ECM remodeling at single-fiber resolution 

Mathieu M. Petitjean, Chief engineering officer, PharmaNest

Abstract: The FibroNest method is an AI-driven digital pathology framework relevant to quantifying collagen and other fibrillar proteins in extracellular matrix remodeling at single-fiber resolution. When applied to collagen, it enables the definition of FibroTypes as dynamic, multidimensional tissue states rather than static stages, leveraging spatial single-fiber datasets that—analogous to single-cell analysis—support the discovery of novel phenotypes and, when fused with single-cell data, bridge biology and histology.
Applied consistently across preclinical models and human biopsies, the FibroNest method provides a unified, translatable readout of fibrosis remodeling from early discovery through clinical development.
By extracting hundreds of quantitative collagen features, it captures mechanistic changes in collagen architecture, supporting biological discovery and hypothesis generation across organs including liver, intestine, lung, kidney, and skin.
Continuous composite biomarkers derived from these features enable sensitive detection of treatment effects, intra-stage changes, and phenotypic responder stratification in clinical trials.
Together, this platform delivers robust, cross-organ biomarkers for antifibrotic drug development and translational research.