Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

Mohanad Alkhodari, Winok Lapidaire, Turkay Kart, Zhaohan Xiong, Samuel Krasner, Andrew J. Fletcher, Shakila Bibi, Natalie Savage, Katie Suriano, Tobias R. Baumeister, Eric O. Ohuma, Ana I.L. Namburete, Pablo Lamata, Yasser Iturria-Medina, Lucy C. Chappell, Christina Y.L. Aye, Basky Thilaganathan, Abigail Fraser, Lucy Mackillop, Richard J. McManus, Ntobeko A.B. Ntusi, Ahsan H. Khandoker, Leontios J. Hadjileontiadis, Adam J. Lewandowski, Abhirup Banerjee, Paul Leeson

Open source

DOI: 10.1161/circulationaha.125.077394
Published: 2026-07-28
Container: Circulation
Publisher: Ovid Technologies (Wolters Kluwer Health)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1161/circulationaha.125.077394,
  title = {Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study},
  author = {Mohanad Alkhodari and Winok Lapidaire and Turkay Kart and Zhaohan Xiong and Samuel Krasner and Andrew J. Fletcher and Shakila Bibi and Natalie Savage and Katie Suriano and Tobias R. Baumeister and Eric O. Ohuma and Ana I.L. Namburete and Pablo Lamata and Yasser Iturria-Medina and Lucy C. Chappell and Christina Y.L. Aye and Basky Thilaganathan and Abigail Fraser and Lucy Mackillop and Richard J. McManus and Ntobeko A.B. Ntusi and Ahsan H. Khandoker and Leontios J. Hadjileontiadis and Adam J. Lewandowski and Abhirup Banerjee and Paul Leeson},
  year = {2026},
  journal = {Circulation},
  doi = {10.1161/circulationaha.125.077394},
  url = {https://doi.org/10.1161/circulationaha.125.077394}
}

RIS

TY  - JOUR
TI  - Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study
AU  - Mohanad Alkhodari
AU  - Winok Lapidaire
AU  - Turkay Kart
AU  - Zhaohan Xiong
AU  - Samuel Krasner
AU  - Andrew J. Fletcher
AU  - Shakila Bibi
AU  - Natalie Savage
AU  - Katie Suriano
AU  - Tobias R. Baumeister
AU  - Eric O. Ohuma
AU  - Ana I.L. Namburete
AU  - Pablo Lamata
AU  - Yasser Iturria-Medina
AU  - Lucy C. Chappell
AU  - Christina Y.L. Aye
AU  - Basky Thilaganathan
AU  - Abigail Fraser
AU  - Lucy Mackillop
AU  - Richard J. McManus
AU  - Ntobeko A.B. Ntusi
AU  - Ahsan H. Khandoker
AU  - Leontios J. Hadjileontiadis
AU  - Adam J. Lewandowski
AU  - Abhirup Banerjee
AU  - Paul Leeson
PY  - 2026
JO  - Circulation
DO  - 10.1161/circulationaha.125.077394
UR  - https://doi.org/10.1161/circulationaha.125.077394
ER  -

APA

Alkhodari, M., Lapidaire, W., Kart, T., Xiong, Z., Krasner, S., Fletcher, A. J., Bibi, S., Savage, N., Suriano, K., Baumeister, T. R., Ohuma, E. O., Namburete, A. I., Lamata, P., Iturria-Medina, Y., Chappell, L. C., Aye, C. Y., Thilaganathan, B., Fraser, A., Mackillop, L., McManus, R. J., Ntusi, N. A., Khandoker, A. H., Hadjileontiadis, L. J., Lewandowski, A. J., Banerjee, A., & Leeson, P. (2026). Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study. Circulation. https://doi.org/10.1161/circulationaha.125.077394

Source records

crossref · retrieved 2026-09-26T23:26:44.821Z