Journal Article

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

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

2018

Overview

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.

• Publisher: Cambridge University Press
• Subject: Artificial intelligence / Big Data / Clinical decision making / Clinical medicine / Clinical outcomes / Computerized medical records / Data analysis / Data processing / Decision making / Electronic medical records / Forensic evidence / Genomes / Humans / Information technology / Learning algorithms / Machine Learning / Medical decision making / Medical records / Medical Records Systems, Computerized / Medical treatment / Medicine / Mental health / Natural language / Neuroses / Obsessive compulsive disorder / Patients / Precision medicine / Precision Medicine - instrumentation / Precision Medicine - methods / Product development / Proteomics / Psychiatry / Psychiatry - instrumentation / Psychiatry - methods / R&D / Research & development / Technology / Wearable Electronic Devices