The revolution of personalized psychiatry: will technology make it happen sooner?

G. Perna*, M. Grassi, D. Caldirola, C. B. Nemeroff

*Corresponding author for this work

Research output: Contribution to journalEditorialAcademicpeer-review

46 Citations (Web of Science)

Abstract

Personalized medicine (PM) aims to establish a new approach in clinical decision-making, based upon a patient's individual profile in order to tailor treatment to each patient's characteristics. Although this has become a focus of the discussion also in the psychiatric field, with evidence of its high potential coming from several proof-of-concept studies, nearly no tools have been developed by now that are ready to be applied in clinical practice. In this paper, we discuss recent technological advances that can make a shift toward a clinical application of the PM paradigm. We focus specifically on those technologies that allow both the collection of massive as much as real-time data, i.e., electronic medical records and smart wearable devices, and to achieve relevant predictions using these data, i.e. the application of machine learning techniques.
Original languageEnglish
Pages (from-to)705-713
Number of pages9
JournalPsychological Medicine
Volume48
Issue number5
DOIs
Publication statusPublished - 1 Apr 2018

Keywords

  • Big data
  • electronic medical records
  • machine learning
  • personalized medicine
  • precision medicine
  • wearable devices
  • OBSESSIVE-COMPULSIVE DISORDER
  • MACHINE LEARNING APPROACH
  • LATE-LIFE DEPRESSION
  • MENTAL-HEALTH
  • ANTIDEPRESSANT TREATMENT
  • TREATMENT RESPONSE
  • BIPOLAR DISORDER
  • MOOD DISORDERS
  • PANIC DISORDER
  • PREDICTION

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