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Receptors, Glucocorticoid

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Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD.

Translational psychiatry 28323285
To date, studies of biological risk factors have revealed inconsistent relationships with subsequent post-traumatic stress disorder (PTSD). The inconsistent signal may reflect the use of data analytic tools that are ill equipped for modeling the comp...
Adrenocorticotropic Hormone Adult Algorithms Area Under Curve Blood Pressure Emergency Service, Hospital Female Heart Rate Humans Hydrocortisone Linear Models Longitudinal Studies Lymphocytes Machine Learning Male Norepinephrine Psychological Trauma Receptors, Glucocorticoid Risk Assessment ROC Curve Saliva Stress Disorders, Post-Traumatic Support Vector Machine Urine Wounds and Injuries Young Adult
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Development of in silico classification models for binding affinity to the glucocorticoid receptor.

Chemosphere 37301514
The endocrine disrupting properties of chemicals acting through the glucocorticoid receptor (GR) have attracted considerable interest. Since there are few data for most chemicals on their endocrine properties in silico approaches seem to be the most ...
Endocrine System Neural Networks, Computer Receptors, Glucocorticoid
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M3S-GRPred: a novel ensemble learning approach for the interpretable prediction of glucocorticoid receptor antagonists using a multi-step stacking strategy.

BMC bioinformatics 40307679
Accelerating drug discovery for glucocorticoid receptor (GR)-related disorders, including innovative machine learning (ML)-based approaches, holds promise in advancing therapeutic development, optimizing treatment efficacy, and mitigating adverse eff...
Algorithms Computational Biology Drug Discovery Ensemble Learning Humans Machine Learning Receptors, Glucocorticoid
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