Can proteomics improve our prediction of depression remission?

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Jonas Hagenberg discusses new insights into the possible use of proteomics (the large-scale study of proteins) for improving our prediction of depression remission.

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Predicting treatment-resistant psychosis using routine clinical measures

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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.

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Periodontitis: How good are current prediction models?

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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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