Deep Learning Resolves Myovascular Dynamics in the Failing Human Heart.
Publication
, Journal Article
Karpurapu, A; Williams, HA; DeBenedittis, P; Baker, CE; Ren, S; Thomas, MC; Beard, AJ; Devlin, GW; Harrington, J; Parker, LE; Smith, AK ...
Published in: JACC. Basic to translational science
May 2024
The adult mammalian heart harbors minute levels of cycling cardiomyocytes (CMs). Large numbers of images are needed to accurately quantify cycling events using microscopy-based methods. CardioCount is a new deep learning-based pipeline to rigorously score nuclei in microscopic images. When applied to a repository of 368,434 human microscopic images, we found evidence of coupled growth between CMs and cardiac endothelial cells in the adult human heart. Additionally, we found that vascular rarefaction and CM hypertrophy are interrelated in end-stage heart failure. CardioCount is available for use via GitHub and via Google Colab for users with minimal machine learning experience.
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Published In
JACC. Basic to translational science
DOI
EISSN
2452-302X
ISSN
2452-302X
Publication Date
May 2024
Volume
9
Issue
5
Start / End Page
674 / 686
Related Subject Headings
- 3201 Cardiovascular medicine and haematology
- 1103 Clinical Sciences
- 1102 Cardiorespiratory Medicine and Haematology
Citation
APA
Chicago
ICMJE
MLA
NLM
Karpurapu, A., Williams, H. A., DeBenedittis, P., Baker, C. E., Ren, S., Thomas, M. C., … Karra, R. (2024). Deep Learning Resolves Myovascular Dynamics in the Failing Human Heart. JACC. Basic to Translational Science, 9(5), 674–686. https://doi.org/10.1016/j.jacbts.2024.02.007
Karpurapu, Anish, Helen A. Williams, Paige DeBenedittis, Caroline E. Baker, Simiao Ren, Michael C. Thomas, Anneka J. Beard, et al. “Deep Learning Resolves Myovascular Dynamics in the Failing Human Heart.” JACC. Basic to Translational Science 9, no. 5 (May 2024): 674–86. https://doi.org/10.1016/j.jacbts.2024.02.007.
Karpurapu A, Williams HA, DeBenedittis P, Baker CE, Ren S, Thomas MC, et al. Deep Learning Resolves Myovascular Dynamics in the Failing Human Heart. JACC Basic to translational science. 2024 May;9(5):674–86.
Karpurapu, Anish, et al. “Deep Learning Resolves Myovascular Dynamics in the Failing Human Heart.” JACC. Basic to Translational Science, vol. 9, no. 5, May 2024, pp. 674–86. Epmc, doi:10.1016/j.jacbts.2024.02.007.
Karpurapu A, Williams HA, DeBenedittis P, Baker CE, Ren S, Thomas MC, Beard AJ, Devlin GW, Harrington J, Parker LE, Smith AK, Mainsah B, Pla MM, Asokan A, Bowles DE, Iversen E, Collins L, Karra R. Deep Learning Resolves Myovascular Dynamics in the Failing Human Heart. JACC Basic to translational science. 2024 May;9(5):674–686.
Published In
JACC. Basic to translational science
DOI
EISSN
2452-302X
ISSN
2452-302X
Publication Date
May 2024
Volume
9
Issue
5
Start / End Page
674 / 686
Related Subject Headings
- 3201 Cardiovascular medicine and haematology
- 1103 Clinical Sciences
- 1102 Cardiorespiratory Medicine and Haematology