Holly Fraser discusses new findings on whether and how we can predict antidepressant response using artificial intelligence.
[read the full story...]Predicting antidepressant response using artificial intelligence
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(Brain) sex matters
Paris Lalousis reviews a recent study that looks into the differences in brain connectivity between males and females, which suggests a potential sex-based divergence in the neurobiological underpinnings of psychiatric disorders.
[read the full story...]Can proteomics improve our prediction of depression remission?
Jonas Hagenberg discusses new insights into the possible use of proteomics (the large-scale study of proteins) for improving our prediction of depression remission.
[read the full story...]Predicting treatment-resistant psychosis using routine clinical measures
Lorna Staines summarises a recent study on predicting treatment-resistant psychosis, which suggests that future risk prediction efforts should seek to consider routinely collected data.
[read the full story...]Periodontitis: How good are current prediction models?
12 prediction models for periodontitis incidence and progression were identified in 7 studies. There were several methodological and reporting shortcomings of published prediction models and indicated further research is required.
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