Author

Matthew Davis

Dartmouth–Hitchcock Medical CenterORCID 0000-0001-9111-4932Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Matthew Davis2 papers · University of California, Davis

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1

Frequent Co-Authors

Brock C. ChristenseniD· 2 shared Gokul Srinivasan· 2 shared Joshua LevyiD· 2 shared Louis Joseph VaickusiD· 2 shared Matthew R. LeBoeufiD· 2 shared Yunrui LuiD· 2 shared Alos DialloiD· 1 shared Anish SuvarnaiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersPathology

Brock C. ChristensenORCID

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2 papers

Recent·Most cited

PathologyPacific Symposium on Biocomputing (PSB)Peer-reviewedDec 1, 2023

Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining

Gokul Srinivasan, Matthew Davis, Matthew R. LeBoeuf…·Joshua Levy

This paper develops machine learning models to infer spatial transcriptomics data from H&E-stained skin slides, improving the assessment of photoaging and its therapeutic implications.

6 citationstop 3%

humanspatial transcriptomics

𝕏 PostBluesky

PathologybioRxivPreprintAug 7, 2023

DeltaAI: Semi-Autonomous Tissue Grossing Measurements and Recommendations using Neural Radiance Fields for Rapid, Complete Intraoperative Histological Assessment of Tumor Margins

Anish Suvarna, Ram Vempati, Rachael S. Chacko…·Joshua Levy

DeltaAI uses Neural Radiance Fields to create 3D tissue models for faster and more accurate intraoperative tumor margin assessment in Mohs Micrographic Surgery.

3 citations

𝕏 PostBluesky