Computational pathology assessments of cardiac stromal remodeling: Clinical correlates and prognostic implications in heart transplantation
The data that support the findings of this study are presented in the manuscript and extended data sections. Unprocessed raw data are available from the corresponding author upon reasonable request. Source code for the stromal feature analysis pipeline is hosted on GitHub and freely available: https://github.service.emory.edu/CYUAN31/Pathomics_StromalBioMarker_in_Myocardium.git.
Authors
- Michael D. Feldman (ORCID: https://orcid.org/0000-0002-9476-927X)
- Sara Arabyarmohammadi (ORCID: https://orcid.org/0000-0001-9325-6918)
- Kenneth B. Margulies (ORCID: https://orcid.org/0000-0002-8093-4465)
- Anant Madabhushi (ORCID: https://orcid.org/0000-0002-5741-0399)
- Pingfu Fu (ORCID: https://orcid.org/0000-0002-2334-5218)
- Eliot Peyster (ORCID: https://orcid.org/0000-0002-3350-3136)
- Priti Lal (ORCID: https://orcid.org/0000-0003-2193-9968)
- Yuan Cai (ORCID: https://orcid.org/0000-0002-5494-5523)
Institutions
- Georgia Institute of Technology (US)
- Emory University (US)
- Atlanta Medical Center (US)
- Indiana University School of Medicine
- Indiana University – Purdue University Indianapolis (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- JHLT Open
- Published
- 2024-12-28
- DOI
- https://doi.org/10.1016/j.jhlto.2024.100202
- Citations
- 5
- Primary Topic
- Transplantation: Methods and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.86
Funders
- W. W. Smith Charitable Trust
- National Heart, Lung, and Blood Institute
- National Cancer Institute