N-of-1 medicine

Author:

Wang Peter123,Leong Qiao Ying12,Lau Ni Yin12,Ng Wei Ying12,Kwek Siong Peng12,Tan Lester123,Song Shang-Wei123,You Kui123,Chong Li Ming123,Zhuang Isaiah12,Ong Yoong Hun12,Foo Nigel123,Tadeo Xavier12,Kumar Kirthika Senthil12,Vijayakumar Smrithi12,Sapanel Yoann124,Raczkowska Marlena Natalia12,Remus Alexandria1235,Blasiak Agata1236,Ho Dean12346

Affiliation:

1. Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore

2. The N.1 Institute for Health (N.1), National University of Singapore, Singapore

3. Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore

4. Singapore’s Health District @ Queenstown, Yong Loo Lin School of Medicine, National University of Singapore, Singapore

5. Heat Resilience Performance Centre (HRPC), Yong Loo Lin School of Medicine, National University of Singapore, Singapore

6. Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore

Abstract

Abstract The fields of precision and personalised medicine have led to promising advances in tailoring treatment to individual patients. Examples include genome/molecular alteration-guided drug selection, single-patient gene therapy design and synergy-based drug combination development, and these approaches can yield substantially diverse recommendations. Therefore, it is important to define each domain and delineate their commonalities and differences in an effort to develop novel clinical trial designs, streamline workflow development, rethink regulatory considerations, create value in healthcare and economics assessments, and other factors. These and other segments are essential to recognise the diversity within these domains to accelerate their respective workflows towards practice-changing healthcare. To emphasise these points, this article elaborates on the concept of digital health and digital medicine-enabled N-of-1 medicine, which individualises combination regimen and dosing using a patient’s own data. We will conclude with recommendations for consideration when developing novel workflows based on emerging digital-based platforms.

Publisher

Medknow

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