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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2606.18123.

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Outbound references

Observation 414c3985-9cef-4166-8ef1-c9de7a29533d · outbound

This paper cites Chemokines in the cancer microenviron- ment and their relevance in cancer immunotherapy.Nature Reviews Immunology, 17(9):559– 572, 2017.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Chemokines in the cancer microenviron- ment and their relevance in cancer immunotherapy.Nature Reviews Immunology, 17(9):559– 572, 2017

Reference 1

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Observation 9a221113-169d-4327-9803-457b836190a1 · outbound

This paper cites Immunotherapy and the ovarian cancer microenvironment: exploring potential strate- gies for enhanced treatment efficacy.Immunology, 173(1):14–32, 2024.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Immunotherapy and the ovarian cancer microenvironment: exploring potential strate- gies for enhanced treatment efficacy.Immunology, 173(1):14–32, 2024

Reference 2

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Observation a5cfbb1a-f83b-401f-9fc9-fc6d4b0827a0 · outbound

This paper cites Conserved pan-cancer mi- croenvironment subtypes predict response to immunotherapy.Cancer cell, 39(6):845–865, 2021.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Conserved pan-cancer mi- croenvironment subtypes predict response to immunotherapy.Cancer cell, 39(6):845–865, 2021

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Observation efdcf8e1-7216-456f-9926-4fc54350704e · outbound

This paper cites Computer- aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Computer- aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review

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Observation dcd80cd2-62fb-4fc7-aa25-aefa0f3b861b · outbound

This paper cites Understanding the tumor immune microenvironment (time) for effective ther- apy.Nature medicine, 24(5):541–550, 2018.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Understanding the tumor immune microenvironment (time) for effective ther- apy.Nature medicine, 24(5):541–550, 2018

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Observation 935cea40-b399-4fa4-8250-c00bbc3b5073 · outbound

This paper cites Multimodal ai generates virtual population for tumor microenvironment modeling.Cell, 189(2):386–400, 2026.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Multimodal ai generates virtual population for tumor microenvironment modeling.Cell, 189(2):386–400, 2026

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Observation de6e69e4-9bd8-4af7-a218-9937b236f412 · outbound

This paper cites Stpath: a generative foundation model for integrating spatial transcriptomics and whole-slide images.NPJ Digital Medicine, 8(1):659, 2025.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Stpath: a generative foundation model for integrating spatial transcriptomics and whole-slide images.NPJ Digital Medicine, 8(1):659, 2025

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Observation cebafc0a-a7f3-4fea-8741-296b3eb9bab7 · outbound

This paper cites Leveraging multi-modal foundation models for analysing spatial multi-omic and histopathology data.Nature Biomedical Engineering, pages 1–18, 2026.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Leveraging multi-modal foundation models for analysing spatial multi-omic and histopathology data.Nature Biomedical Engineering, pages 1–18, 2026

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Observation c2e4ad85-2758-4db2-a088-e8b8dd04dd10 · outbound

This paper cites A visual–omics foundation model to bridge histopathology with spatial transcriptomics.Nature Methods, 22(7):1568–1582, 2025.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology A visual–omics foundation model to bridge histopathology with spatial transcriptomics.Nature Methods, 22(7):1568–1582, 2025

Reference 9

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Observation b391be21-d84c-43ed-b418-c2b5ce853f43 · outbound

This paper cites A visual-language foundation model for computational pathology.Nature medicine, 30(3):863–874, 2024.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology A visual-language foundation model for computational pathology.Nature medicine, 30(3):863–874, 2024

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Observation 9c2d91f2-bd3a-447e-9cac-988d56300474 · outbound

This paper cites Immunofluorescence techniques.Journal of Investigative Der- matology, 133(1):1–4, 2013.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Immunofluorescence techniques.Journal of Investigative Der- matology, 133(1):1–4, 2013

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Observation e3a92416-8dc7-460b-8a95-ea0fc8135d84 · outbound

This paper cites Miphei-vit: Multiplex immunofluorescence prediction from h&e images using vit foundation models.Computers in Biology and Medicine, 206:111564, 2026.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Miphei-vit: Multiplex immunofluorescence prediction from h&e images using vit foundation models.Computers in Biology and Medicine, 206:111564, 2026

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Observation 3d309442-8dc9-456b-a7d2-7dd0bc385a65 · outbound

This paper cites Rosie: Ai gener- ation of multiplex immunofluorescence staining from histopathology images.Nature Commu- nications, 16(1):7633, 2025.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Rosie: Ai gener- ation of multiplex immunofluorescence staining from histopathology images.Nature Commu- nications, 16(1):7633, 2025

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Observation 826ca200-e005-47d3-a5f4-6cdce5942bf9 · outbound

This paper cites Ai-enabled virtual spatial proteomics from histopathol- ogy for interpretable biomarker discovery in lung cancer.Nature Medicine, pages 1–14, 2026.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Ai-enabled virtual spatial proteomics from histopathol- ogy for interpretable biomarker discovery in lung cancer.Nature Medicine, pages 1–14, 2026

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Observation ebfc74a6-b842-40bc-9589-519e06d008a5 · outbound

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

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Observation 0505ccd0-659b-44d4-897f-5582cb78c8e4 · outbound

This paper cites Towardsageneral- purpose foundation model for computational pathology.Nature medicine, 30(3):850–862, 2024.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Towardsageneral- purpose foundation model for computational pathology.Nature medicine, 30(3):850–862, 2024

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Observation 03e7210a-3477-4763-8f98-796db57fa0a3 · outbound

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Hemit: H&e to multiplex- immunohistochemistry image translation with dual-branch pix2pix generator

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Observation cfc6aa44-97b5-41a9-b02b-c5c3794031bf · outbound

This paper cites High-plex immunofluores- cence imaging and traditional histology of the same tissue section for discovering image-based biomarkers.Nature cancer, 4(7):1036–1052, 2023.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology High-plex immunofluores- cence imaging and traditional histology of the same tissue section for discovering image-based biomarkers.Nature cancer, 4(7):1036–1052, 2023

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Observation cf8f2b00-a8cb-456a-b774-8eb63b9a1918 · outbound

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Curran Associates Inc., Red Hook, NY, USA, 2019

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Observation d9f3dae2-162b-4e54-ac0e-0444582d8070 · outbound

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Unicorn: Towards universal cellular expression prediction with a multi-task learning framework.Nature Communications, 16(1):9455, 2025

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Observation f58b1dd6-b9a6-45d3-981d-b86daf799a04 · outbound

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Stimage- 1k4m: A histopathology image-gene expression dataset for spatial transcriptomics.Advances in neural information processing systems, 37:35796–35823, 2024

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Observation f3e99415-a823-4cd8-9624-a09997f09020 · outbound

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Scikit- learn: Machine learning in python.the Journal of machine Learning research, 12:2825–2830, 2011

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Observation abffd1c1-59e7-4af9-a7d3-ffd0c01a514a · outbound

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Accurate spatial gene expression prediction by integrating multi-resolution features

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Observation 3c286c17-786b-4e8a-bbc9-4bfa5b9bd551 · outbound

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Spatially resolved gene expression prediction from histology images via bi-modal con- trastive learning.Advances in Neural Information Processing Systems, 36:70626–70637, 2023

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Observation 83504b96-5467-494f-b513-bf8d2d04396e · outbound

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology A whole-slide foundation model for digital pathology from real-world data.Nature, 630(8015):181–188, 2024

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology The cancer imaging archive (tcia): maintaining and operating a public information repository.Journal of digital imaging, 26(6):1045–1057, 2013

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Cancer-induced nerve injury promotes resistance to anti-pd-1 therapy.Nature, 646(8084):462–473, 2025

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Observation 11865c97-e39a-4aa8-ac10-9daccf75b887 · outbound

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Regulatory t cells and foxp3.Immunological reviews, 241(1):260–268, 2011

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Observation fc6f5f28-a3d0-4c17-bb2c-f6974bb59ccc · outbound

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Pecam-1: regulatorof endothelialjunctional integrity

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Observation f2075e3e-3d63-4951-ba61-5eb19f0c6f46 · outbound

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Unresolved cited work

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Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Cd163 and ccr7 as markers for macrophage polari- sation in lung cancer microenvironment.Central European Journal of Immunology, 44(4):395– 402, 2019

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Observation fcb33dac-ea2f-4075-b1d6-9fe3b7eea4d7 · outbound

This paper cites Expression of naive/memory(cd45ra/cd45ro)markersbyperipheralbloodcd4+andcd8+tcellsinchildren with asthma.Archivum immunologiae et therapiae experimentalis, 56(1):55–62, 2008.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Expression of naive/memory(cd45ra/cd45ro)markersbyperipheralbloodcd4+andcd8+tcellsinchildren with asthma.Archivum immunologiae et therapiae experimentalis, 56(1):55–62, 2008

Reference 32

Resolution
unresolved
no resolver link, observed 2026-06-27T01:50:30.097327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T01:50:30.097327Z digest=sha256:678a50a909104b7ebec0501e7d044b26c55816f93ebfd5a63c94f9dda28b5164

Observation 39e26045-1e80-434b-8b98-61642f44c029 · outbound

This paper cites Video-assisted thoracic surgery lobectomy (vats), open tho- racotomy, and the robot for lung cancer.The Annals of thoracic surgery, 85(2):S710–S715, 2008.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Video-assisted thoracic surgery lobectomy (vats), open tho- racotomy, and the robot for lung cancer.The Annals of thoracic surgery, 85(2):S710–S715, 2008

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-27T01:50:30.097327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T01:50:30.097327Z digest=sha256:42e460569b80d5913755a188d4e3f26b99657ad029a0b8e9416e38e9f6b82c97

Observation 8d7b4038-33a6-4c7d-8d12-2cc72195bd07 · outbound

This paper cites Ccnet: Criss-cross attention for semantic segmentation.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Ccnet: Criss-cross attention for semantic segmentation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-27T01:50:30.097327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T01:50:30.097327Z digest=sha256:8e0ca031cf4c41ad3e2caee4d85d41181d97d2ef344ff5b793d4ebf9d1cd93ad

Observation 43508204-b8dc-43db-879d-ac565736cdca · outbound

This paper cites Decoupled Weight Decay Regularization.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Decoupled Weight Decay Regularization

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-07-03T19:28:52.308191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T01:50:30.097327Z digest=sha256:65a8d8af534371e0a228414d5fe91419e60151205d1e5080d04c0bc2af0ecfb0

Observation 20023223-2b91-445f-97ae-291d3cb2b315 · outbound

This paper cites Accelerating Data Processing and Benchmarking of AI Models for Pathology.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Accelerating Data Processing and Benchmarking of AI Models for Pathology

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:28:52.304120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T01:50:30.097327Z digest=sha256:6d8d593c4f6082ad0dec2952a7bfd07c11128ac98bb8c3cf418b8363db0059a4

Observation 6e44baf5-4ceb-4d84-b522-6b149d84ce7b · outbound

This paper cites Molecular-driven Foundation Model for Oncologic Pathology.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Molecular-driven Foundation Model for Oncologic Pathology

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:28:52.305682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T01:50:30.097327Z digest=sha256:330b262eb9aeb7ea0fff83a4676b53d08516cfb2816bd14f958209c41ce7dc62

Observation e4add402-58ad-4fd5-88e9-13c2244a61e5 · outbound

This paper cites OpenAI GPT-5 System Card.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology OpenAI GPT-5 System Card

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-03T19:28:52.313176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T01:50:30.097327Z digest=sha256:da797e515571fb5ee9d5c14c954d327b7d88aa5ddaf8283ab43854bb7b87c719

Pith citing papers

No inbound Pith citation observations are available.