Affordable Access

Access to the full text

Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches

Authors
  • Lin, Eugene1, 2
  • Lin, Chieh-Hsin2, 3, 4
  • Lane, Hsien-Yuan2, 5, 6, 7
  • 1 Department of Electrical & Computer Engineering, University of Washington, Seattle, WA 98195, USA
  • 2 Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan
  • 3 of Medicine, Kaohsiung 83301, Taiwan
  • 4 School of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
  • 5 Department of Psychiatry, China Medical University Hospital, Taichung 40402, Taiwan
  • 6 Brain Disease Research Center, China Medical University Hospital, Taichung 40402, Taiwan
  • 7 Department of Psychology, College of Medical and Health Sciences, Asia University, Taichung 41354, Taiwan
Type
Published Article
Journal
International Journal of Molecular Sciences
Publisher
MDPI AG
Publication Date
Feb 01, 2020
Volume
21
Issue
3
Identifiers
DOI: 10.3390/ijms21030969
PMID: 32024055
PMCID: PMC7037937
Source
PubMed Central
Keywords
License
Green

Abstract

A growing body of evidence now suggests that precision psychiatry, an interdisciplinary field of psychiatry, precision medicine, and pharmacogenomics, serves as an indispensable foundation of medical practices by offering the accurate medication with the accurate dose at the accurate time to patients with psychiatric disorders. In light of the latest advancements in artificial intelligence and machine learning techniques, numerous biomarkers and genetic loci associated with psychiatric diseases and relevant treatments are being discovered in precision psychiatry research by employing neuroimaging and multi-omics. In this review, we focus on the latest developments for precision psychiatry research using artificial intelligence and machine learning approaches, such as deep learning and neural network algorithms, together with multi-omics and neuroimaging data. Firstly, we review precision psychiatry and pharmacogenomics studies that leverage various artificial intelligence and machine learning techniques to assess treatment prediction, prognosis prediction, diagnosis prediction, and the detection of potential biomarkers. In addition, we describe potential biomarkers and genetic loci that have been discovered to be associated with psychiatric diseases and relevant treatments. Moreover, we outline the limitations in regard to the previous precision psychiatry and pharmacogenomics studies. Finally, we present a discussion of directions and challenges for future research.

Report this publication

Statistics

Seen <100 times