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

G. Perna, M. Grassi, D. Caldirola, Charles Nemeroff

Research output: Contribution to journalArticlepeer-review

36 Scopus citations


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 (US)
Pages (from-to)1-9
Number of pages9
JournalPsychological Medicine
StateAccepted/In press - Oct 2 2017


  • Big data
  • electronic medical records
  • machine learning
  • personalized medicine
  • precision medicine
  • wearable devices

ASJC Scopus subject areas

  • Applied Psychology
  • Psychiatry and Mental health


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