Publications

List by: Type | Date

Jump to: 2025 | 2024 | 2023 | 2022 | 2021
Number of items: 13.

2025

Rochmawati, I. D. et al. (2025) Association of sociodemographic factors and comorbidity with non-receipt of medications for secondary prevention: a cohort study of 12,204 myocardial infarction survivors. BMC Medicine, (Accepted for Publication)

Kamdar, A. et al. (2025) Secular trends in types of cardiovascular disease in the West of Scotland. Open Heart, 12, e003003. (doi: 10.1136/openhrt-2024-003003)

Walker, H. et al. (2025) Analysis of the kidney failure risk equation implementation in routine clinical practice and health inequalities in chronic kidney disease care: a retrospective cohort study. BMC Nephrology, 26, 113. (doi: 10.1186/s12882-025-04043-0)

2024

Sosenko, F. et al. (2024) Cancer diagnosis after emergency presentation: impact of demographics, cancer types, and pandemic. Academia Oncology, 1(2), pp. 1-8. (doi: 10.20935/AcadOnco7422)

Tran, T. Q. B. et al. (2024) Assessing machine learning for diagnostic classification of hypertension types identified by ambulatory blood pressure monitoring. CJC Open, 6(6), pp. 798-804. (doi: 10.1016/j.cjco.2024.03.005) (PMID:39022171) (PMCID:PMC11250845)

2023

Le, Nhu Ngoc, Tran, Tran Quoc Bao, Du Toit, Clea ORCID logoORCID: https://orcid.org/0000-0002-7221-6965, Gill, Dipender and Padmanabhan, Sandosh ORCID logoORCID: https://orcid.org/0000-0003-3869-5808 (2023) Establishing plausibility of cardiovascular adverse effects of immunotherapies using Mendelian randomisation. Frontiers in Cardiovascular Medicine, 10, 1116799. (doi: 10.3389/fcvm.2023.1116799) (PMID:37273876) (PMCID:PMC10235787)

Du Toit, C. et al. (2023) Survey and evaluation of hypertension machine learning research. Journal of the American Heart Association, 12(9), e027896. (doi: 10.1161/JAHA.122.027896) (PMID:37119074) (PMCID:PMC10227215)

Tran, T. Q. B. et al. (2023) Predictive accuracy and clinical utility of machine learning prediction for classifying blood pressure status. SSRN, (doi: 10.2139/ssrn.4307704)

Garimella, Pranav. S., Du Toit, Clea ORCID logoORCID: https://orcid.org/0000-0002-7221-6965, Le, Nhu Ngoc and Padmanabhan, Sandosh ORCID logoORCID: https://orcid.org/0000-0003-3869-5808 (2023) A genomic deep field view of hypertension. Kidney International, 103(1), pp. 42-52. (doi: 10.1016/j.kint.2022.09.029) (PMID:36377113)

Padmanabhan, Sandosh ORCID logoORCID: https://orcid.org/0000-0003-3869-5808, Du Toit, Clea ORCID logoORCID: https://orcid.org/0000-0002-7221-6965 and Dominiczak, Anna F. ORCID logoORCID: https://orcid.org/0000-0003-4913-3608 (2023) Cardiovascular precision medicine – a pharmacogenomic perspective. Cambridge Prisms: Precision Medicine, 1, pp. 1-54. e28. (doi: 10.1017/pcm.2023.17)

2022

Louca, Panayiotis, Tran, Tran Quoc Bao, Du Toit, Clea ORCID logoORCID: https://orcid.org/0000-0002-7221-6965, Christofidou, Paraskevi, Spector, Tim D., Mangino, Massimo, Suhre, Karsten, Padmanabhan, Sandosh ORCID logoORCID: https://orcid.org/0000-0003-3869-5808 and Menni, Cristina (2022) Machine learning integration of multimodal data identifies key features of blood pressure regulation. EBioMedicine, 84, 104243. (doi: 10.1016/j.ebiom.2022.104243) (PMID:36084617) (PMCID:PMC9463529)

Du Toit, C. et al. (2022) Investigating the quality of machine learning research and reporting in hypertension. European Society of Hypertension 31st Annual Meeting, Athens, Greece, 17-21 Jul 2022. e78. (doi: 10.1097/01.hjh.0000835956.81410.5e)

2021

Tran, Tran Quoc Bao, Du Toit, Clea ORCID logoORCID: https://orcid.org/0000-0002-7221-6965 and Padmanabhan, Sandosh ORCID logoORCID: https://orcid.org/0000-0003-3869-5808 (2021) Artificial intelligence in healthcare-the road to precision medicine. Journal of Hospital Management and Health Policy, 5, 29. (doi: 10.21037/JHMHP-20-132)

This list was generated on Sat Jul 5 13:17:08 2025 BST.
Number of items: 14.

Articles

Rochmawati, I. D. et al. (2025) Association of sociodemographic factors and comorbidity with non-receipt of medications for secondary prevention: a cohort study of 12,204 myocardial infarction survivors. BMC Medicine, (Accepted for Publication)

Kamdar, A. et al. (2025) Secular trends in types of cardiovascular disease in the West of Scotland. Open Heart, 12, e003003. (doi: 10.1136/openhrt-2024-003003)

Walker, H. et al. (2025) Analysis of the kidney failure risk equation implementation in routine clinical practice and health inequalities in chronic kidney disease care: a retrospective cohort study. BMC Nephrology, 26, 113. (doi: 10.1186/s12882-025-04043-0)

Sosenko, F. et al. (2024) Cancer diagnosis after emergency presentation: impact of demographics, cancer types, and pandemic. Academia Oncology, 1(2), pp. 1-8. (doi: 10.20935/AcadOnco7422)

Tran, T. Q. B. et al. (2024) Assessing machine learning for diagnostic classification of hypertension types identified by ambulatory blood pressure monitoring. CJC Open, 6(6), pp. 798-804. (doi: 10.1016/j.cjco.2024.03.005) (PMID:39022171) (PMCID:PMC11250845)

Le, Nhu Ngoc, Tran, Tran Quoc Bao, Du Toit, Clea ORCID logoORCID: https://orcid.org/0000-0002-7221-6965, Gill, Dipender and Padmanabhan, Sandosh ORCID logoORCID: https://orcid.org/0000-0003-3869-5808 (2023) Establishing plausibility of cardiovascular adverse effects of immunotherapies using Mendelian randomisation. Frontiers in Cardiovascular Medicine, 10, 1116799. (doi: 10.3389/fcvm.2023.1116799) (PMID:37273876) (PMCID:PMC10235787)

Du Toit, C. et al. (2023) Survey and evaluation of hypertension machine learning research. Journal of the American Heart Association, 12(9), e027896. (doi: 10.1161/JAHA.122.027896) (PMID:37119074) (PMCID:PMC10227215)

Tran, T. Q. B. et al. (2023) Predictive accuracy and clinical utility of machine learning prediction for classifying blood pressure status. SSRN, (doi: 10.2139/ssrn.4307704)

Garimella, Pranav. S., Du Toit, Clea ORCID logoORCID: https://orcid.org/0000-0002-7221-6965, Le, Nhu Ngoc and Padmanabhan, Sandosh ORCID logoORCID: https://orcid.org/0000-0003-3869-5808 (2023) A genomic deep field view of hypertension. Kidney International, 103(1), pp. 42-52. (doi: 10.1016/j.kint.2022.09.029) (PMID:36377113)

Padmanabhan, Sandosh ORCID logoORCID: https://orcid.org/0000-0003-3869-5808, Du Toit, Clea ORCID logoORCID: https://orcid.org/0000-0002-7221-6965 and Dominiczak, Anna F. ORCID logoORCID: https://orcid.org/0000-0003-4913-3608 (2023) Cardiovascular precision medicine – a pharmacogenomic perspective. Cambridge Prisms: Precision Medicine, 1, pp. 1-54. e28. (doi: 10.1017/pcm.2023.17)

Louca, Panayiotis, Tran, Tran Quoc Bao, Du Toit, Clea ORCID logoORCID: https://orcid.org/0000-0002-7221-6965, Christofidou, Paraskevi, Spector, Tim D., Mangino, Massimo, Suhre, Karsten, Padmanabhan, Sandosh ORCID logoORCID: https://orcid.org/0000-0003-3869-5808 and Menni, Cristina (2022) Machine learning integration of multimodal data identifies key features of blood pressure regulation. EBioMedicine, 84, 104243. (doi: 10.1016/j.ebiom.2022.104243) (PMID:36084617) (PMCID:PMC9463529)

Tran, Tran Quoc Bao, Du Toit, Clea ORCID logoORCID: https://orcid.org/0000-0002-7221-6965 and Padmanabhan, Sandosh ORCID logoORCID: https://orcid.org/0000-0003-3869-5808 (2021) Artificial intelligence in healthcare-the road to precision medicine. Journal of Hospital Management and Health Policy, 5, 29. (doi: 10.21037/JHMHP-20-132)

Deo, N. et al. HUMANE: Harmonious Understanding of Machine Learning Analytics Network—global consensus for research on artificial intelligence in medicine. Exploration of Digital Health Technologies, 2, pp. 157-166. (doi: 10.37349/edht.2024.00018)

Conference or Workshop Item

Du Toit, C. et al. (2022) Investigating the quality of machine learning research and reporting in hypertension. European Society of Hypertension 31st Annual Meeting, Athens, Greece, 17-21 Jul 2022. e78. (doi: 10.1097/01.hjh.0000835956.81410.5e)

This list was generated on Sat Jul 5 13:17:08 2025 BST.