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A machine learning approach on whole blood immunomarkers to identify an inflammation-associated psyc...

A machine learning approach on whole blood immunomarkers to identify an inflammation-associated psyc...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2785501619

A machine learning approach on whole blood immunomarkers to identify an inflammation-associated psychosis onset subgroup

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Psychosis onset is a transdiagnostic event that leads to a range of psychiatric disorders, which are currently diagnosed through clinical observation. The integration of multimodal biological data could reveal different subtypes of psychosis onset to target for the personalization of care. In this study, we tested the existence of subgroups of pati...

Alternative Titles

Full title

A machine learning approach on whole blood immunomarkers to identify an inflammation-associated psychosis onset subgroup

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2785501619

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2785501619

Other Identifiers

ISSN

1359-4184

E-ISSN

1476-5578

DOI

10.1038/s41380-022-01911-1

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