An Atlas-foundation-model system for multi-cancer H&E tissue and cell profiling matches pathologist H&E accuracy against IHC-informed consensus and generalizes across 1,500+ cases.
RudolfV: a foundation model by pathologists for pathologists
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GLMP generates robust pathology embeddings by routing histology images through an intermediate textual representation produced by general-purpose MLLMs to mitigate batch effects.
OpenTME provides pre-computed TME profiles with over 4,500 quantitative readouts per slide from 3,634 TCGA H&E images using an AI pipeline based on pathology foundation models.
A review mapping the transition from classical machine learning to foundation models for multimodal data integration in cancer research.
The paper surveys data-centric strategies for foundation models in computational healthcare and supplies a curated list of related models and datasets.
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Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy
An Atlas-foundation-model system for multi-cancer H&E tissue and cell profiling matches pathologist H&E accuracy against IHC-informed consensus and generalizes across 1,500+ cases.
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Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation
GLMP generates robust pathology embeddings by routing histology images through an intermediate textual representation produced by general-purpose MLLMs to mitigate batch effects.
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OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA
OpenTME provides pre-computed TME profiles with over 4,500 quantitative readouts per slide from 3,634 TCGA H&E images using an AI pipeline based on pathology foundation models.
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From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research
A review mapping the transition from classical machine learning to foundation models for multimodal data integration in cancer research.
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Data-Centric Foundation Models in Computational Healthcare: A Survey
The paper surveys data-centric strategies for foundation models in computational healthcare and supplies a curated list of related models and datasets.