Author

Gregory C. Antell

Dana-Farber Cancer Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Organism:human· 1

Frequent Co-Authors

Alexander Chowdhury· 1 shared Alexandra Franz· 1 shared Amalie Dahl HaueiD· 1 shared Aviv RegeviD· 1 shared Bo YuaniD· 1 shared Brian Matthew WolpiniD· 1 shared Chen YuaniD· 1 shared Chris SanderiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alexander Chowdhury

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1 paper

Recent·Most cited

Pancreatic cancer risk predicted from disease trajectories using deep learning

Davide Placido, Bo Yuan, Jessica Xin Hjaltelin, Chunlei Zheng, Amalie Dahl Haue, Piotr Jaroslaw Chmura, Chen Yuan, Jihye Kim, Renato Umeton, Gregory C. Antell, Alexander Chowdhury, Alexandra Franz, Lauren K. Brais, Elizabeth Andrews, Debora S. Marks, , Chris Sander

This paper uses deep learning to predict pancreatic cancer risk from clinical disease trajectories in two large datasets, achieving higher accuracy than models without temporal information.

bioRxiv · Jun 27, 2021 · PreprintBioinformatics