IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i15p8979-d870006.html
   My bibliography  Save this article

Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus

Author

Listed:
  • Amartya Mukhopadhyay

    (Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
    Medical Affairs—Research Innovation & Enterprise, Alexandra Hospital, National University Health System, Singapore 159964, Singapore
    Division of Respiratory and Critical Care Medicine, Department of Medicine, National University Hospital, Singapore 119074, Singapore)

  • Jennifer Sumner

    (Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
    Medical Affairs—Research Innovation & Enterprise, Alexandra Hospital, National University Health System, Singapore 159964, Singapore
    Department of Health Sciences, University of York, York YO10 5DQ, UK)

  • Lieng Hsi Ling

    (Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
    Department of Cardiology, National University Heart Centre, Singapore 119074, Singapore)

  • Raphael Hao Chong Quek

    (Department of Electrical & Computer Engineering, National University of Singapore, Singapore 117583, Singapore)

  • Andre Teck Huat Tan

    (Division of Endocrinology, Department of Medicine, National University Hospital, Singapore 119074, Singapore)

  • Gim Gee Teng

    (Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
    Chronic Programme, Alexandra Hospital, National University Health System, Singapore 159964, Singapore
    Division of Rheumatology, Department of Medicine, National University Health System, Singapore 119074, Singapore)

  • Santhosh Kumar Seetharaman

    (Healthy Ageing Programme, Alexandra Hospital, National University Health System, Singapore 159964, Singapore
    Division of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore 119074, Singapore)

  • Satya Pavan Kumar Gollamudi

    (FAST Programme, Alexandra Hospital, National University Health System, Singapore 159964, Singapore
    Division of Advanced Internal Medicine, Department of Medicine, National University Hospital, Singapore 119074, Singapore)

  • Dean Ho

    (Department of Biomedical Engineering, National University of Singapore, Singapore 119077, Singapore)

  • Mehul Motani

    (Department of Electrical & Computer Engineering, National University of Singapore, Singapore 117583, Singapore)

Abstract

Chronic diseases typically require long-term management through healthy lifestyle practices and pharmacological intervention. Although efficacious treatments exist, disease control is often sub-optimal leading to chronic disease-related sequela. Poor disease control can partially be explained by the ‘one size fits all’ pharmacological approach. Precision medicine aims to tailor treatments to the individual. CURATE.AI is a dosing optimisation platform that considers individual factors to improve the precision of drug therapies. CURATE.AI has been validated in other therapeutic areas, such as cancer, but has yet to be applied in chronic disease care. We will evaluate the CURATE.AI system through a single-arm feasibility study ( n = 20 hypertensives and n = 20 type II diabetics). Dosing decisions will be based on CURATE.AI recommendations. We will prospectively collect clinical and qualitative data and report on the clinical effect, implementation challenges, and acceptability of using CURATE.AI. In addition, we will explore how to enhance the algorithm further using retrospective patient data. For example, the inclusion of other variables, the simultaneous optimisation of multiple drugs, and the incorporation of other artificial intelligence algorithms. Overall, this project aims to understand the feasibility of using CURATE.AI in clinical practice. Barriers and enablers to CURATE.AI will be identified to inform the system’s future development.

Suggested Citation

  • Amartya Mukhopadhyay & Jennifer Sumner & Lieng Hsi Ling & Raphael Hao Chong Quek & Andre Teck Huat Tan & Gim Gee Teng & Santhosh Kumar Seetharaman & Satya Pavan Kumar Gollamudi & Dean Ho & Mehul Motan, 2022. "Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus," IJERPH, MDPI, vol. 19(15), pages 1-11, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:8979-:d:870006
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/15/8979/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/15/8979/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eric D. Green & Chris Gunter & Leslie G. Biesecker & Valentina Francesco & Carla L. Easter & Elise A. Feingold & Adam L. Felsenfeld & David J. Kaufman & Elaine A. Ostrander & William J. Pavan & Adam M, 2020. "Strategic vision for improving human health at The Forefront of Genomics," Nature, Nature, vol. 586(7831), pages 683-692, October.
    2. Xiaofen D. Keating & Ke Zhou & Xiaolu Liu & Michael Hodges & Jingwen Liu & Jianmin Guan & Ashley Phelps & Jose Castro-Piñero, 2019. "Reliability and Concurrent Validity of Global Physical Activity Questionnaire (GPAQ): A Systematic Review," IJERPH, MDPI, vol. 16(21), pages 1-27, October.
    3. Jennifer A Hirst & Richard J Stevens & Andrew J Farmer, 2014. "Changes in HbA1c Level over a 12-Week Follow-up in Patients with Type 2 Diabetes following a Medication Change," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-7, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vedrana Sember & Kaja Meh & Maroje Sorić & Gregor Starc & Paulo Rocha & Gregor Jurak, 2020. "Validity and Reliability of International Physical Activity Questionnaires for Adults across EU Countries: Systematic Review and Meta Analysis," IJERPH, MDPI, vol. 17(19), pages 1-23, September.
    2. Lambed Tatah & Matthew Pearce & Rahul Goel & Soren Brage & James Woodcock & Fidelia A. A. Dake, 2022. "Physical Activity Behaviour and Comparison of GPAQ and Travel Diary Transport-Related Physical Activity in Accra, Ghana," IJERPH, MDPI, vol. 19(12), pages 1-13, June.
    3. Patricio Solis-Urra & Julio Plaza-Diaz & Ana Isabel Álvarez-Mercado & Fernando Rodríguez-Rodríguez & Carlos Cristi-Montero & Juan Pablo Zavala-Crichton & Jorge Olivares-Arancibia & Javier Sanchez-Mart, 2020. "The Mediation Effect of Self–Report Physical Activity Patterns in the Relationship between Educational Level and Cognitive Impairment in Elderly: A Cross-Sectional Analysis of Chilean Health National ," IJERPH, MDPI, vol. 17(8), pages 1-12, April.
    4. Justin Richards & Emma Sherry & Fetuao Tamala & Suzie Schuster & Nico Schulenkorf & Lewis Keane, 2022. "Netball Shoots for Physical and Mental Wellbeing in Samoa: A Natural Experiment," IJERPH, MDPI, vol. 19(5), pages 1-11, February.
    5. Lenin Pazmino & Wilmer Esparza & Arian Ramón Aladro-Gonzalvo & Edgar León, 2021. "Impact of Work and Recreational Physical Activity on Prediabetes Condition among U.S. Adults: NHANES 2015–2016," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
    6. Hoyong Sung & Geonhui Kim & Xiaonan Ma & Harim Choe & Yunmin Han & Jiyeon Yoon & Yeun Ryu & Yeon Soo Kim, 2022. "Physical Activity Trends in Korean Adults from Korea National Health and Nutritional Examination Survey from 2014 to 2019," IJERPH, MDPI, vol. 19(9), pages 1-13, April.
    7. Elisabeth Rohwer & Natascha Mojtahedzadeh & Felix Alexander Neumann & Albert Nienhaus & Matthias Augustin & Volker Harth & Birgit-Christiane Zyriax & Stefanie Mache, 2021. "The Role of Health Literacy among Outpatient Caregivers during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(22), pages 1-25, November.
    8. Lama AlAbdi & Sateesh Maddirevula & Hanan E. Shamseldin & Ebtissal Khouj & Rana Helaby & Halima Hamid & Aisha Almulhim & Mais O. Hashem & Firdous Abdulwahab & Omar Abouyousef & Mashael Alqahtani & Nor, 2023. "Diagnostic implications of pitfalls in causal variant identification based on 4577 molecularly characterized families," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    9. Natascha Mojtahedzadeh & Felix Alexander Neumann & Elisabeth Rohwer & Albert Nienhaus & Matthias Augustin & Volker Harth & Birgit-Christiane Zyriax & Stefanie Mache, 2021. "The Health Behaviour of German Outpatient Caregivers in Relation to the COVID-19 Pandemic: A Mixed-Methods Study," IJERPH, MDPI, vol. 18(15), pages 1-30, August.
    10. Marc Charles & David Thivel & Julien Verney & Laurie Isacco & Pauliina Husu & Henri Vähä-Ypyä & Tommi Vasankari & Michèle Tardieu & Alicia Fillon & Pauline Genin & Benjamin Larras & Bruno Chabanas & B, 2021. "Reliability and Validity of the ONAPS Physical Activity Questionnaire in Assessing Physical Activity and Sedentary Behavior in French Adults," IJERPH, MDPI, vol. 18(11), pages 1-14, May.
    11. Chunnan Li & Shaomei Shang & Wannian Liang, 2023. "Physical Activity Types, Physical Activity Levels and Risk of Diabetes in General Adults: The NHANES 2007–2018," IJERPH, MDPI, vol. 20(2), pages 1-13, January.
    12. Shim, Janet K. & Bentz, Michael & Vasquez, Emily & Jeske, Melanie & Saperstein, Aliya & Fullerton, Stephanie M. & Foti, Nicole & McMahon, Caitlin & Lee, Sandra Soo-Jin, 2022. "Strategies of inclusion: The tradeoffs of pursuing “baked in” diversity through place-based recruitment," Social Science & Medicine, Elsevier, vol. 306(C).
    13. Hui Gao & Xingxing Li & Yunhua Zi & Xuanwen Mu & Mingjian Fu & Tingting Mo & Kuai Yu, 2022. "Reliability and Validity of Common Subjective Instruments in Assessing Physical Activity and Sedentary Behaviour in Chinese College Students," IJERPH, MDPI, vol. 19(14), pages 1-10, July.
    14. Tuguy Esgin & Deborah Hersh & Kevin G. Rowley & Rona Macniven & Kristen Glenister & Alan Crouch & Robert U. Newton, 2021. "Physical Activity and Self-Reported Metabolic Syndrome Risk Factors in the Aboriginal Population in Perth, Australia, Measured Using an Adaptation of the Global Physical Activity Questionnaire (GPAQ)," IJERPH, MDPI, vol. 18(11), pages 1-13, June.
    15. Pauliina Husu & Henri Vähä-Ypyä & Kari Tokola & Harri Sievänen & Paulo Rocha & Tommi Vasankari, 2024. "Reliability and Validity of Self-Reported Questionnaires Assessing Physical Activity and Sedentary Behavior in Finland," IJERPH, MDPI, vol. 21(6), pages 1-13, May.
    16. Manuela Priolo & Marco Tartaglia, 2023. "The Right to Ask, the Need to Answer—When Patients Meet Research: How to Cope with Time," IJERPH, MDPI, vol. 20(5), pages 1-10, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:8979-:d:870006. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.