Background Diagnosis of schizophrenia (SCZ) is made exclusively clinically, since specific
biomarkers that can predict the disease accurately remain unknown. Machine learning (ML) …

Despite extensive research and prodigious advances in neuroscience, our comprehension
of the nature of schizophrenia remains rudimentary. Our failure to make progress is …

BackgroundA wealth of clinical studies have identified objective biomarkers, which separate
schizophrenia patients from healthy controls on a group level, but current diagnostic systems …

Guest editorial: Special issue on machine learning in schizophrenia Guest editorial: Special
issue on machine learning in schizophrenia Schizophr Res. 2019 Dec:214:1-2. doi: 10.1016/j.schres.2019.10.044 …

Currently, the diagnosis of depression is largely based on clinical judgments due to the
absence of objective biomarkers. There are increasing evidences that depression (DP) is …

Emotion processing, playing an important role in our social interactions, is a sub-topic of
social cognition. Significant differences in emotion perception and processing have been …

Despite the high level of interest in the use of machine learning (ML) and neuroimaging to
detect psychosis at the individual level, the reliability of the findings is unclear due to …