Author

Simón P. Castillo

The University of Texas MD Anderson Cancer CenterORCID 0000-0002-0606-2160Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Pathology· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Assay:imaging· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Yinyin YuaniD· 2 shared Alejandra SerranoiD· 1 shared Alexandria LauiD· 1 shared B. Leticia RodrigueziD· 1 shared Caner ErcaniD· 1 shared Jason T. HuseiD· 1 shared K. Gonzales· 1 shared Lawrence N. KwongiD· 1 shared

Activity by Year

2017-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPathology

Yinyin YuanORCID

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Author profile →

3 papers

Recent·Most cited

A modular generalist-specialist AI framework for ROI selection across spatial profiling workflow

Simón P. Castillo, Tanishq Gautam, K. Gonzales, Maria Esther Salvatierra, Alejandra Serrano, Caner Ercan, B. Leticia Rodriguez, Paul Acosta, Pingjun Chen, Yasin Shokrollahi, Alexandria Lau, Lawrence N. Kwong, Jason T. Huse, Xiaoxi Pan, Patient Mosaic Team, , Yinyin Yuan

The paper introduces a modular AI framework for ROI selection in spatial profiling, showing hybrid generalist-specialist strategies balance signal preservation, concordance, consistency, and efficiency.

bioRxiv · Jul 1, 2026 · PreprintPathology

Interpretable morphology mapping of peripheral blood leukocytes using annotation-efficient artificial intelligence

Zhuohe Liu, Simón P. Castillo, Xin Han, Xiaoping Sun, Zhihong Hu, Yinyin Yuan

This paper develops an interpretable AI framework for leukocyte morphology classification in peripheral blood smears, achieving high accuracy with reduced annotation needs and providing clinical tools for integration.

bioRxiv · May 26, 2026 · PreprintPathology

The network structure of cancer ecosystems

Simón P. Castillo, Rolando Rebolledo, Matias Arim, Michael E. Hochberg, Pablo A. Marquet

This paper analyzes the network structure of cancer ecosystems using biomedical records, revealing non-random patterns, correlations with blood supply and cell turnover, and modular organization similar to ecological networks.

bioRxiv · Dec 29, 2017 · PreprintEcology