A Blueprint for Next Generation of Clinical Trials in Precision Psychiatry

Kay T. Pham, Jony Sheynin, Israel Liberzon

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Precision psychiatry is a fast-growing field that aims to incorporate individual biomedical data from genetics, imaging, other biomarkers, and integrated machine learning across datasets to inform clinical decision making and develop patient-specific interventions. Psychiatry has begun to evolve from a discipline reliant primarily on a descriptive, symptom-based diagnostic framework to a specialty that aims to implement precision approaches into clinical practice. This chapter discusses the application of genetics, imaging, biomarkers data, and of machine-learning based models, mainly focusing on what is currently known and exploring the unknown, in the context of psychiatric patient care.

Original languageEnglish (US)
Title of host publicationComprehensive Precision Medicine, First Edition, Volume 1-2
PublisherElsevier
Pages83-91
Number of pages9
Volume1-2
ISBN (Electronic)9780128240106
DOIs
StatePublished - 2024

Keywords

  • Artificial intelligence
  • Biomarkers
  • Diagnosis
  • Genetics
  • Machine learning
  • Neuroimaging
  • Pharmacogenomic
  • Psychiatric phenotype
  • Risk assessment
  • Treatment

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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