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Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and
Amartya Mukhopadhyay1,2,3, Jennifer Sumner1,2,4, Lieng Hsi Ling1,5
1Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Summary
Precision medicine using CURATE.AI optimizes drug dosing for chronic diseases. This feasibility study in hypertension and type II diabetes will assess its clinical impact and patient acceptance.
Area of Science:
- Pharmacology
- Digital Health
- Chronic Disease Management
Background:
- Chronic diseases require long-term management, often with suboptimal control despite available treatments.
- The "one size fits all" approach to pharmacotherapy limits treatment efficacy.
- Precision medicine offers tailored therapeutic strategies to improve individual patient outcomes.
Purpose of the Study:
- To evaluate the feasibility of the CURATE.AI dosing optimization platform in chronic disease care.
- To assess the clinical effect, implementation challenges, and patient acceptability of CURATE.AI.
- To identify barriers and enablers for integrating CURATE.AI into clinical practice.
Main Methods:
- A single-arm feasibility study involving 20 hypertensive and 20 type II diabetic patients.
- Dosing decisions guided by CURATE.AI recommendations.
- Prospective collection of clinical and qualitative data to evaluate system performance and user experience.
Main Results:
- Feasibility of using CURATE.AI in chronic disease management will be determined.
- Clinical effectiveness, implementation challenges, and patient acceptability will be reported.
- Potential enhancements to the CURATE.AI algorithm will be explored using retrospective data.
Conclusions:
- This study will provide insights into the practical application of CURATE.AI for chronic disease management.
- Findings will inform future development and integration of AI-driven precision medicine tools.
- Understanding feasibility is crucial for advancing personalized pharmacotherapy in chronic conditions.
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