Author

Jacqueline A. Brosnan‐Cashman

PathAI (United States)ORCID 0000-0001-9579-2853Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:spatial domain detection· 2 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Approach:genetic perturbation / CRISPR· 1

Frequent Co-Authors

Alan Keith MeekeriD· 1 shared Amaro N Taylor-WeineriD· 1 shared Andrew H. BeckiD· 1 shared Anthony J. RizzoiD· 1 shared Archit KhoslaiD· 1 shared Bahar RahsepariD· 1 shared Benjamin GlassiD· 1 shared Brea Johnson· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperCancer Biology

Alan Keith MeekerORCID

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintAug 6, 2025

Loss of DAXX induces alternative lengthening of telomeres (ALT)-associated hallmarks in prostate cancer cells in a context-specific manner

Joakin Mori, Joseph Da, Jiyoung Kim…·Mindy Kim Graham

This study shows that DAXX mutations induce ALT-associated features in prostate cancer cells, but only in CWR22Rv1 cells, not in LAPC-4 cells.

1 citation

humangenetic perturbation / CRISPR

𝕏 PostBluesky

Cancer BiologyModern PathologyPeer-reviewedApr 11, 2025

Spatial mapping of immunosuppressive cancer-associated fibroblast gene signatures in H&E-stained images using additive multiple instance learning

Miles Markey, Juhyun Kim, Zvi Goldstein…·Chintan Parmar

This paper introduces aMIL, a machine learning method that predicts CAF gene signatures from H&E images, revealing spatial patterns linked to immunosuppression in tumors.

11 citations

𝕏 PostBluesky

PathologybioRxivPreprintMar 17, 2025

Quantification of collagen and associated features from H&E-stained whole slide pathology images across cancer types using a physics-based deep learning model

Tan Huu Nguyen, Jun Zhang, Jennifer Hipp…·Robert Egger

This paper introduces a deep learning model to predict collagen from H&E-stained images, enabling collagen quantification across cancer types and linking it to clinical outcomes.

1 citation

𝕏 PostBluesky