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Sep 2026

Multimodal machine learning model integrating electroencephalography, heart rate variability and clinical measures for distinguishing major psychiatric disorders.

BACKGROUND This study aimed to develop and evaluate multimodal machine learning (ML) approaches for differentiating bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SZ), conditions that are clinically difficult to distinguish because of overlapping symptom presentations despite their distinct...

Byeongjae Kang, Ji-Yoon Lee, J. Chang et al. · 0 citations
Open access Sep 2026

Contribution of copy number variants to schizophrenia in East Asian populations

A significantly elevated genome-wide rare CNV burden in EAS cases compared with controls is observed, underscoring the importance of increasing population diversity to fully capture the genetic underpinnings of schizophrenia.

Yu Chen, Qi-Di Feng, Max Lam et al. · 0 citations

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