Enabling Technologies for Personalized and Precision Medicine

Dean Ho; Stephen R Quake; Edward R B McCabe; Wee Joo Chng; Edward K Chow; Xianting Ding; Bruce D Gelb; Geoffrey S Ginsburg; Jason Hassenstab; Chih-Ming Ho; William C Mobley; Garry P Nolan; Steven T Rosen; Patrick Tan; Yun Yen; Ali Zarrinpar

doi:10.1016/j.tibtech.2019.12.021

Enabling Technologies for Personalized and Precision Medicine

Trends Biotechnol. 2020 May;38(5):497-518. doi: 10.1016/j.tibtech.2019.12.021. Epub 2020 Jan 21.

Authors

Dean Ho¹, Stephen R Quake², Edward R B McCabe³, Wee Joo Chng⁴, Edward K Chow⁵, Xianting Ding⁶, Bruce D Gelb⁷, Geoffrey S Ginsburg⁸, Jason Hassenstab⁹, Chih-Ming Ho¹⁰, William C Mobley¹¹, Garry P Nolan¹², Steven T Rosen¹³, Patrick Tan¹⁴, Yun Yen¹⁵, Ali Zarrinpar¹⁶

Affiliations

¹ The N.1 Institute for Health (N.1), National University of Singapore, Singapore; The Institute for Digital Medicine (WisDM), National University of Singapore, Singapore; Department of Biomedical Engineering, NUS Engineering, National University of Singapore, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. Electronic address: biedh@nus.edu.sg.
² Department of Bioengineering, Stanford University, CA, USA; Department of Applied Physics, Stanford University, CA, USA; Chan Zuckerberg Biohub, San Francisco, CA, USA.
³ March of Dimes Foundation, New York, USA. Electronic address: emccabe@mednet.ucla.edu.
⁴ Department of Haematology and Oncology, National University Cancer Institute, National University Health System, Singapore; Cancer Science Institute of Singapore, National University of Singapore, Singapore.
⁵ Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Cancer Science Institute of Singapore, National University of Singapore, Singapore.
⁶ Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, China.
⁷ Mindich Child Health and Development Institute, Departments of Pediatrics and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, NY, USA.
⁸ Center for Applied Genomics and Precision Medicine, Duke University, NC, USA.
⁹ Department of Neurology, Washington University in St. Louis, MO, USA; Psychological & Brain Sciences, Washington University in St. Louis, MO, USA.
¹⁰ Department of Mechanical Engineering, University of California, Los Angeles, CA, USA.
¹¹ Department of Neurosciences, University of California, San Diego, CA, USA.
¹² Department of Microbiology & Immunology, Stanford University, CA, USA.
¹³ Comprehensive Cancer Center and Beckman Research Institute, City of Hope, CA, USA.
¹⁴ Duke-NUS Medical School, National University of Singapore, Singapore.
¹⁵ College of Medical Technology, Center of Cancer Translational Research, Taipei Cancer Center of Taipei Medical University, Taipei, Taiwan.
¹⁶ Department of Surgery, Division of Transplantation & Hepatobiliary Surgery, University of Florida, FL, USA.

Abstract

Individualizing patient treatment is a core objective of the medical field. Reaching this objective has been elusive owing to the complex set of factors contributing to both disease and health; many factors, from genes to proteins, remain unknown in their role in human physiology. Accurately diagnosing, monitoring, and treating disorders requires advances in biomarker discovery, the subsequent development of accurate signatures that correspond with dynamic disease states, as well as therapeutic interventions that can be continuously optimized and modulated for dose and drug selection. This work highlights key breakthroughs in the development of enabling technologies that further the goal of personalized and precision medicine, and remaining challenges that, when addressed, may forge unprecedented capabilities in realizing truly individualized patient care.

Keywords: artificial intelligence; clinical trials; diagnostics; personalized medicine; precision medicine; therapeutics.

Publication types

Review

MeSH terms

Artificial Intelligence / trends*
Biomarkers / analysis
Diagnosis*
Humans
Precision Medicine / trends*
Therapeutics / trends*

Substances

Biomarkers

Abstract

Publication types

MeSH terms

Substances

Grants and funding