BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …

Objective Schizophrenia poses a tremendous health, social, and economic burden upon
patients and society, indicating current treatment options remain inadequate. Recent …

The last decade brought tremendous progress in the field of schizophrenia genetics. As a
result of extensive collaborations and multiple technological advances, we now recognize …

Schizophrenia is a debilitating psychiatric illness that remains poorly understood. While the
bulk of symptomatology has classically been associated with disrupted brain functioning …

A role for immune processes in the pathogenesis of schizophrenia has been suggested by
genetic and epidemiological studies, as well as cross-sectional studies on blood and brain …

Deciphering the impact of genetic variation on gene regulation is fundamental to
understanding common, complex human diseases. Although histone modifications are …

In this study, combined analysis of expression profiling in the hippocampus of 76 patients
with Alzheimer's disease (AD) and 40 healthy controls was performed. The effects of …

BackgroundBipolar disorder (BD) is a highly heritable mood disorder with complex genetic
architecture and poorly understood etiology. Previous transcriptomic BD studies have had …

While there is an abundance of epidemiological evidence implicating infectious agents in
the etiology of severe mental illnesses, postmortem studies have not yet detected an …

Altered immune function is an established finding in psychotic disorders such as
schizophrenia and bipolar disorder with psychosis, though its role in their development and …