TY - JOUR
T1 - The revolution of personalized psychiatry
T2 - Will technology make it happen sooner?
AU - Perna, G.
AU - Grassi, M.
AU - Caldirola, D.
AU - Nemeroff, C. B.
N1 - Publisher Copyright:
Copyright © Cambridge University Press 2017.
PY - 2018/4/1
Y1 - 2018/4/1
N2 - 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.
AB - 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.
KW - Big data
KW - electronic medical records
KW - machine learning
KW - personalized medicine
KW - precision medicine
KW - wearable devices
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U2 - 10.1017/S0033291717002859
DO - 10.1017/S0033291717002859
M3 - Review article
C2 - 28967349
AN - SCOPUS:85030862300
VL - 48
SP - 705
EP - 713
JO - Psychological Medicine
JF - Psychological Medicine
SN - 0033-2917
IS - 5
ER -