M. Crispin-Ortuzar

LLM-based reconstruction of longitudinal clinical trajectories in chronic liver disease

Liver cancer primarily develops in patients with chronic liver disease (CLD), yet most cases are diagnosed at advanced stages with poor prognosis. While CLD surveillance generates extensive longitudinal data, its free-text nature hinders large-scale research. To address this, we developed a scalable framework using o...

A multimodal murmuration for immunotherapy

Can Protein-Derived Knowledge Improve Pathology Foundation Models?

Molecularly guided pathology foundation models (PFMs) exploit transcriptomic or proteomic information to enrich whole-slide image (WSI) representations, yet effectively leveraging large standalone molecular corpora remains challenging. First, existing molecular foundation models encode protein sequences or single-cell...

Modeling Whole-Slide Images as Dynamic Tumor Microenvironment Fields

Due to the gigapixel-scale nature of whole-slide images (WSIs), weakly supervised WSI analysis is commonly formulated as a multiple instance learning (MIL) problem, where patch-level features are aggregated into slide-level representations. However, diagnostic and prognostic evidence often arises from spatially coheren...