Multidisciplinary Effort to Drive Precision-Medicine for the Future

Dewei Kong, Haojie Yu, Xueling Sim, Kevin White, E. Shyong Tai, Markus Wenk, Adrian Kee Keong Teo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In the past one or two decades, countries across the world have successively implemented different precision medicine (PM) programs, and also cooperated to implement international PM programs. We are now in the era of PM. Singapore's National Precision Medicine (NPM) program, initiated in 2017, is now entering its second phase to generate a large genomic database for Asians. The National University of Singapore (NUS) also launched its own PM translational research program (TRP) in 2021, aimed at consolidating multidisciplinary expertise within the Yong Loo Lin School of Medicine to develop collaborative projects that can help to identify and validate novel therapeutic targets for the realization of PM. To achieve this, appropriate data collection, data processing, and results interpretation must be taken into consideration. There may be some difficulties during these processes, but with the improvement of relevant rules and the continuous development of omics-based technologies, we will be able to solve these problems, eventually achieving precise prediction, diagnosis, treatment, or even prevention of diseases.

Original languageEnglish
Article number845405
JournalFrontiers in Digital Health
Volume4
DOIs
Publication statusPublished - 2 May 2022
Externally publishedYes

Keywords

  • big data
  • data collection
  • data processing
  • healthcare
  • metabolic disease
  • omics technologies
  • precision medicine
  • results interpretation

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