Author

Jose L. Cadavid

Massachusetts Institute of TechnologyORCID 0000-0002-9966-7352Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Alison P. McGuiganiD· 1 shared Brendan T. InnesiD· 1 shared Cassidy M Tan· 1 shared Douglas A. LauffenburgeriD· 1 shared Erin N. TevonianiD· 1 shared Faiyaz NottaiD· 1 shared Ferris NowlaniD· 1 shared Gary D. BaderiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

Alison P. McGuiganORCID

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2 papers

Recent·Most cited

Cancer BiologyScientific ReportsPeer-reviewedJul 2, 2025

Single-cell analysis of an engineered organoid-based model of pancreatic cancer identifies hypoxia as a contributing factor in the determination of transcriptional subtypes

Natalie Landon‐Brace, Simon Latour, Brendan T. Innes…·Alison P. McGuigan

This study uses single-cell transcriptomics to show that hypoxia in organoid models influences transcriptional subtypes in pancreatic cancer.

7 citations

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Systems BiologybioRxivPreprintJan 17, 2025

Systems biology framework for rational design of operational conditions for in vitro / in vivo translation of microphysiological systems

Jose L. Cadavid, Nikolaos Meimetis, Tyler Matsuzaki…·Douglas A. Lauffenburger

The paper develops a machine learning framework to identify optimal experimental conditions for improving the translatability of microphysiological systems to in vivo contexts, using MAFLD as a case study.

2 citations

humanmachine learning (classical)

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