Tools to aid precision treatments to prevent or manage treatment-resistant depression (TRD): Pharmacogenomics, machine learning, and artificial intelligence

Lisa C. Brown; Daniel J. Mueller; Harris A. Eyre; Chad Bousman; John F. Greden

doi:10.1016/B978-0-12-824067-0.00007-4

Tools to aid precision treatments to prevent or manage treatment-resistant depression (TRD): Pharmacogenomics, machine learning, and artificial intelligence

Lisa C. Brown, Daniel J. Mueller, Harris A. Eyre, Chad Bousman, John F. Greden

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Medication-based treatment-resistant depression care is plagued by trial and error. Fortunately, novel and advanced personalized medicine approaches provide hope and innovation to tailor these treatments. Careful analysis of these emerging solutions is critical to determine how and when to use them in clinical care, and what further research is needed. The implementation of these precision medicine solutions in treatment-resistant depression remains modest. Although barriers to implementing precision medicine solutions remain to be fully resolved, the current trajectory of discovery and innovation in the field suggests these barriers will be overcome and testing will become an important tool in depression care.

Original language	English (US)
Title of host publication	Managing Treatment-Resistant Depression
Subtitle of host publication	Road to Novel Therapeutics
Publisher	Elsevier
Pages	99-105
Number of pages	7
ISBN (Electronic)	9780128240670
ISBN (Print)	9780128240687
DOIs	https://doi.org/10.1016/B978-0-12-824067-0.00007-4
State	Published - Jan 1 2022

Keywords

Algorithms
Artificial intelligence
Depression
Machine learning
Medications
Personalize
Pharmacogenetics
Precision
Treatment resistant

ASJC Scopus subject areas

Medicine(all)

Access to Document

10.1016/B978-0-12-824067-0.00007-4

Cite this

Brown, L. C., Mueller, D. J., Eyre, H. A., Bousman, C., & Greden, J. F. (2022). Tools to aid precision treatments to prevent or manage treatment-resistant depression (TRD): Pharmacogenomics, machine learning, and artificial intelligence. In Managing Treatment-Resistant Depression: Road to Novel Therapeutics (pp. 99-105). Elsevier. https://doi.org/10.1016/B978-0-12-824067-0.00007-4

Tools to aid precision treatments to prevent or manage treatment-resistant depression (TRD): Pharmacogenomics, machine learning, and artificial intelligence. / Brown, Lisa C.; Mueller, Daniel J.; Eyre, Harris A. et al.
Managing Treatment-Resistant Depression: Road to Novel Therapeutics. Elsevier, 2022. p. 99-105.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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Tools to aid precision treatments to prevent or manage treatment-resistant depression (TRD): Pharmacogenomics, machine learning, and artificial intelligence

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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