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Q&A: AI uses patient narratives to identify postpartum PTSD
You've successfully added Women's Health to your alerts. You will receive an email when new content is published. Click Here to Manage Email Alerts We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. Key takeaways: An open AI model outperformed ChatGPT and six other large language models in identifying PTSD after childbirth.
PrismEXP: gene annotation prediction from stratified gene-gene co-expression matrices
Predicting gene associations to MGI mouse phenotypes The MGI Phenotype Database is a comprehensive resource for characterizing single gene knockout phenotypes in mice (Law & Shaw, 2018). PrismEXP can predict mouse phenotypes for genes with a high level of accuracy, specifically, with an average AUC of 0.82. To demonstrate this, we visualize the feature space of the top predicted genes for the MGI Mouse Phenotype MP:0005134 Decreased Thyroid-Stimulating Hormone Level (Fig. 5).
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