Article
Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study.
Circulation - 28 Jul 2026
Alkhodari Mohanad, Lapidaire Winok, Kart Turkay, Xiong Zhaohan, Krasner Samuel, Fletcher Andrew J, Bibi Shakila, Savage Natalie, Suriano Katie, Baumeister Tobias R, Ohuma Eric O, Namburete Ana I L, Lamata Pablo, Iturria-Medina Yasser, Chappell Lucy C, Aye Christina Y L, Thilaganathan Basky, Fraser Abigail, Mackillop Lucy, McManus Richard J, Ntusi Ntobeko A B, Khandoker Ahsan H, Hadjileontiadis Leontios J, Lewandowski Adam J, Banerjee Abhirup, Leeson Paul
Abstract excerpt
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage increases risk of vascular events and death but can be difficult to identify in the clinic. We developed a novel machine learning approach that quantifies current hypertension-associated multiorgan damage, mapping progression from health to advanced disease, in a pseudotemporal manner and predicts...
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