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Hypertensive disorders of pregnancy and midlife maternal cognition in a prospective cohort study.

Birnie K. et al, (2024), J Clin Hypertens (Greenwich), 26, 166 - 176

HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning

Alkhodari M. et al, (2023), Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, 1886 - 1889

The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare.

Alkhodari M. et al, (2023), Expert Rev Cardiovasc Ther, 21, 531 - 543

Machine learning based disease progression model for young adults with hypertension

Alsharqi M. et al, (2022), JOURNAL OF HUMAN HYPERTENSION, 36, 5 - 5

Machine Learning Augmented Echocardiography for Diastolic Function Assessment.

Fletcher AJ. et al, (2021), Front Cardiovasc Med, 8

Cardiac remodelling and exercise: What happens with ultra-endurance exercise?

Dockerill C. et al, (2020), Eur J Prev Cardiol, 27, 1464 - 1466

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