The revolution of personalized psychiatry: will technology make it happen sooner?. Issue 5 (2nd October 2017)

• Record Type: Journal Article
• Authors: Perna, G.; Grassi, M.; Caldirola, D.; Nemeroff, C. B.
• Is Part Of: Psychological medicine. Volume 48:Issue 5(2018)
• Page Start: 705
• Page End: 713
• Publication Date: 2017-10-02
• Subjects: Big data, -- electronic medical records, -- machine learning, -- personalized medicine, -- precision medicine, -- wearable devices; Psychiatry -- Periodicals; Medicine and psychology -- Periodicals; Clinical psychology -- Periodicals; 616.89
• DOI: 10.1017/S0033291717002859
• Languages: English
• ISSNs: 0033-2917

Abstract

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.