Journal article

Precision psychiatry with immunological and cognitive biomarkers: a multi-domain prediction for the diagnosis of bipolar disorder or schizophrenia using machine learning

Brisa S Fernandes, Chandan Karmakar, Ryad Tamouza, Truyen Tran, John Yearwood, Nora Hamdani, Hakim Laouamri, Jean-Romain Richard, Robert Yolken, Michael Berk, Svetha Venkatesh, Marion Leboyer

Translational Psychiatry | NATURE PUBLISHING GROUP | Published : 2020

Abstract

Precision psychiatry is attracting increasing attention lately as a recognized priority. One of the goals of precision psychiatry is to develop tools capable of aiding a clinically informed psychiatric diagnosis objectively. Cognitive, inflammatory and immunological factors are altered in both bipolar disorder (BD) and schizophrenia (SZ), however, most of these alterations do not respect diagnostic boundaries from a phenomenological perspective and possess great variability in different individuals with the same phenotypic diagnosis and, consequently, none so far has proven to have the ability of reliably aiding in the differential diagnosis of BD and SZ. We developed a probabilistic multi-d..

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University of Melbourne Researchers

Grants

Awarded by Agence Nationale de la Recherche (ANR)


Awarded by NHMRC


Funding Acknowledgements

We thank the foundation FondaMental (www.fondation-fondamental.org) which is a non profit foundation supporting research in psychiatry in France. We express all our thanks to the patients who have accepted to be included in the present study. We thank the Biological Resources Centre (Prs Bijan Galey and Caroline Barau) and the clinical Investigation center (Pr Philippe LeCorvoisier) of Mondor Hospital We thank Agence Nationale de la Recherche (ANR) (Samenta Project V.I.P. ANR-08-MNPS-041), INSERM and AP-HP. MB is supported by a NHMRC Senior Principal Research Fellowship (1059660 and 1156072).