The Trifecta of Precision Care in Heart Failure
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Radiomics helps in monitoring and evaluating tumor features such as temporal and spatial heterogeneity for accession of tumor and its microenvironment.
“For accession of tumor and its microenvironment, radiomics helps in monitoring and evaluating tumor features such as temporal and spatial heterogeneity [64].”
From Influential Usage of Big Data and Artificial Intelligence in Healthcare (2021) · cites this paper as [64]
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Network biology: understanding the cell's functional organization
Barabási, A.-L., & Oltvai, Z. N. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1272 · Cited by 7,903 · see citing works
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Konstam, M. A., & Abboud, F. M. (2017) · Circulation · doi:10.1161/circulationaha.116.025795 · Cited by 276 · see citing works
Clinical Implications of Chronic Heart Failure Phenotypes Defined by Cluster Analysis
Ahmad, T., Pencina, M. J., Schulte, P. J., O'Brien, E. C., Whellan, D. J., Piña, I. L., Kitzman, D. W., Lee, K. L., O’Connor, C. M., & Felker, G. M. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.07.979 · Cited by 262 · see citing works
Self-citationAhmad, T., Lund, L. H., Rao, P., Ghosh, R., Warier, P., Vaccaro, B. J., Dahlström, U., O’Connor, C. M., Felker, G. M., & Desai, N. R. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.117.008081 · Cited by 248 · see citing works
Self-citationCharting a Roadmap for Heart Failure Biomarker Studies
Ahmad, T., Fiuzat, M., Pencina, M. J., Geller, N. L., Zannad, F. M., Cleland, J. G. F., Snider, J., Blankenberg, S., Adams, K. F., Redberg, R. F., et al. (2014) · JACC Heart Failure · doi:10.1016/j.jchf.2014.02.005 · Cited by 110 · see citing works
Self-citationBayés‐Genís, A., Voors, A. A., Zannad, F. M., Januzzi, J. L., Richards, M., & Dı́ez, J. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx027 · Cited by 40 · see citing works
Heart Failure With a Mid-Range Ejection Fraction
Packer, M. (2017) · JACC Heart Failure · doi:10.1016/j.jchf.2017.08.012 · Cited by 22 · see citing works
The classification of cardiac diagnosis, with especial reference to etiology
WHITE, P. D., & Myers, M. M. (1925) · American Heart Journal · doi:10.1016/s0002-8703(25)90008-7 · Cited by 12 · see citing works
Can Big Data Simplify the Complexity of Modern Medicine?
Ahmad, T., Testani, J. M., & Desai, N. R. (2016) · JACC Heart Failure · doi:10.1016/j.jchf.2016.06.004 · Cited by 9 · see citing works
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Atualização de Tópicos Emergentes da Diretriz Brasileira de Insuficiência Cardíaca – 2021
Marcondes‐Braga, F. G., Moura, L. Z., Issa, V. S., Vieira, J. L., Rohde, L. E. P., Simões, M. V., Fernandes-Silva, M. M., Rassi, S., Martins, S. M., de Albuquerque, D. C., et al. (2021) · Arquivos Brasileiros de Cardiologia · doi:10.36660/abc.20210367 · Cited by 156 · see citing works
Why has Positive Inotropy Failed in Chronic Heart Failure? Lessons from Prior Inotrope Trials
Ahmad, T., Miller, P. E., McCullough, M., Desai, N. R., Riello, R. J., Psotka, M. A., Böhm, M., Allen, L. A., Teerlink, J. R., Rosano, G. M. C., et al. (2019) · European Journal of Heart Failure · doi:10.1002/ejhf.1557 · Cited by 124 · see citing works
Self-citationPerin, E. C., Borow, K. M., Henry, T. D., Mendelsohn, F. O., Miller, L. W., Swiggum, E., ADLER, E. D., Chang, D., Fish, R. D., Bouchard, A., et al. (2023) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2022.11.061 · Cited by 90 · see citing works
Influential Usage of Big Data and Artificial Intelligence in Healthcare
Yang, Y. C., Islam, S. U., Noor, A., Khan, S., Afsar, W., & Nazir, S. (2021) · Computational and Mathematical Methods in Medicine · doi:10.1155/2021/5812499 · Cited by 68 · see citing works
“For accession of tumor and its microenvironment, radiomics helps in monitoring and evaluating tumor features such as temporal and spatial heterogeneity [64].”
BackgroundRetractedStrengths and Opportunities of Network Medicine in Cardiovascular Diseases
Benincasa, G., Marfella, R., Mura, N. D., Schiano, C., & Claudio Napoli, A. (2019) · Circulation Journal · doi:10.1253/circj.cj-19-0879 · Cited by 60 · see citing works
Left Ventricular Ejection Fraction and the Future of Heart Failure Phenotyping
Dimond, M. G., Ibrahim, N. E., Fiuzat, M., McMurray, J. J. V., Lindenfeld, J. M., Ahmad, T., Bozkurt, B., Bristow, M. R., Butler, J., Carson, P. E., et al. (2023) · JACC Heart Failure · doi:10.1016/j.jchf.2023.11.005 · Cited by 31 · see citing works
Self-citationFreitas, A. F., Silveira, F. S., Conceição‐Souza, G. E., Canesin, M. F., Schwartzmann, P. V., Bernardez‐Pereira, S., & Bestetti, R. B. (2020) · Arquivos Brasileiros de Cardiologia · doi:10.36660/abc.20201127 · Cited by 6 · see citing works
Peters, A. E., Clare, R. M., Chiswell, K., Harrington, J., Kelsey, A. M., Hernandez, A. F., Felker, G. M., Mentz, R. J., & DeVore, A. D. (2024) · ESC Heart Failure · doi:10.1002/ehf2.14777 · Cited by 3 · see citing works
The Quality Chasm Between Administrative Coding and Accurate Phenotyping of Heart Failure
Pawar, S., Ahmad, T., & Desai, N. R. (2019) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2019.04.010 · Cited by 2 · see citing works
Self-citationHeart Failure With Preserved Ejection Fraction
Ahmad, T., Desai, N. R., & Januzzi, J. L. (2020) · JACC Heart Failure · doi:10.1016/j.jchf.2019.11.004 · Cited by 2 · see citing works
Self-citationDeep Learning‐Based Prediction of Heart Failure Readmission Using Longitudinal Cardiac Device Data
Ramos, V., Sarkar, S., Koehler, J. L., Ma, C., Gonzalez, D. J., Devathu, R., Godinez, E., Chatterjee, K., Fazal, M., Haddad, T. D., et al. (2026) · Journal of Cardiovascular Electrophysiology · doi:10.1111/jce.70406 · Cited by 1 · see citing works
Peters, A. E., Li, S., Cyr, D. D., WILLIAMSON, K. M., Zieroth, S. R., Fudim, M., Ward, J. H., & Mentz, R. J. (2025) · American Heart Journal · doi:10.1016/j.ahj.2025.04.023 · Cited by 1 · see citing works
Can Advanced Analytics Fix Modern Medicine's Problem of Uncertainty, Imprecision, and Inaccuracy?
Ahmad, T., Freeman, J. V., & Asselbergs, F. W. (2018) · European Journal of Heart Failure · doi:10.1002/ejhf.1370
Self-citationChange Is the Only Constant in Heart Failure
Ahmad, T., & O’Connor, C. J. (2021) · JACC Heart Failure · doi:10.1016/j.jchf.2021.06.001
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- Authors
- Ahmad, T., Wilson, F. P., & Desai, N. R.
- Affiliations
- Yale New Haven Hospital (US)
- Corresponding author
- Ahmad, Tariq
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 72
- Issue
- 10
- Pages
- 1091-1094
- ISSN
- 0735-1097 (ISSN-L)
- PMC
- PMC6345377
- OpenAlex
- W2888982278
- Cited by
- 14
- References
- 11
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 2 · 2021: 3 · 2020: 2 · 2019: 3 · 2018: 1
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of the American College of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (K23DK097201, R01DK113191, P30DK079310)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
- Keywords
- heart failure, precision medicine, individualized care, precision care
- MeSH terms
- Big Data, Bioprosthesis, Heart Failure, Humans, Stroke Volume, Biomarkers
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