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Precision Psychiatry With Immunological and Cognitive Biomarkers: A Multi-Domain Prediction for the Diagnosis of Bipolar Disorder or Schizophrenia Using Machine Learning

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conference contribution
posted on 2019-01-01, 00:00 authored by Brisa Simoes Fernandes, Chandan KarmakarChandan Karmakar, Michael Berk, Marion Leboyer
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 and schizophrenia, however, most of these alterations do not respect diagnostic boundaries from a phenomenological perspective and possess considerable 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 bipolar disorder (BD) and schizophrenia (SZ). We also wanted to verify if a multi-domain approach considering both the immune blood biomarkers and the cognitive biomarkers would produce an algorithm with better diagnostic properties than one with each of these domains in isolation.

History

Event

58th Annual Meeting of the American-College-of-Neuropsychopharmacology (ACNP)

Volume

44

Issue

SUPPL 1

Pagination

244 - 245

Publisher

NATURE PUBLISHING GROUP

Location

Orlando, FL, USA

Start date

2019-12-08

End date

2019-12-11

ISSN

0893-133X

eISSN

1740-634X

Language

English

Publication classification

E3.1 Extract of paper

Title of proceedings

Neuropsychopharmacology