JOURNAL ARTICLE

Researchers at International Business Machines Corporation - IBM T.J. Watson Research Center Have Published New Data on Psychosis (Multimodal fusion of brain signals for robust prediction of psychosis transition).

  • Published In: Mental Health Weekly Digest, 2024. P. 556 1 of 2

  • Database: Psychology Source 2 of 2

Abstract

A recent study conducted by researchers at the International Business Machines Corporation (IBM) T.J. Watson Research Center has found that a multimodal machine learning approach can accurately predict the transition to psychosis in youths at clinical high risk. The study utilized neuroimaging data, including structural, resting-state functional imaging, and diffusion-weighted data, to identify neural signatures predictive of psychosis outcomes. The results showed that the multimodal approach outperformed unimodal models in predicting conversion to psychosis. This research highlights the advantage of leveraging complex pathophysiology in understanding and predicting psychosis. [Extracted from the article]

Additional Information

  • Source:Mental Health Weekly Digest. 2024/06, p556
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:1543-6616
  • Accession Number:177701984
  • Copyright Statement:Copyright of Mental Health Weekly Digest is the property of NewsRx and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.