Author

A. Woodard

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

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

A. Srisuwananukorn· 1 shared A. T. Pearson· 1 shared C. M. Perou· 1 shared D. Huo· 1 shared F. M. Howard· 1 shared G. Khramtsova· 1 shared J. Dolezal· 1 shared J. Vickery· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

A. Srisuwananukorn

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1 paper

Recent·Most cited

Multimodal Prediction of Breast Cancer Recurrence Assays and Risk of Recurrence

F. M. Howard, J. Dolezal, S. Kochanny, G. Khramtsova, J. Vickery, A. Srisuwananukorn, A. Woodard, N. Chen, R. Nanda, C. M. Perou, O. I. Olopade, D. Huo, A. T. Pearson

This paper develops a deep learning model that predicts breast cancer recurrence using digital histology and clinical factors, outperforming a clinical nomogram and identifying patients who may avoid genomic testing.

bioRxiv · Jul 7, 2022 · PreprintCancer Biology