AIMC Topic: Mineralocorticoid Receptor Antagonists

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Finerenone Modulates PANoptosis to Improve Immune Microenvironment in Diabetic Nephropathy: A Machine Learning-Based Mechanistic Analysis.

Journal of molecular neuroscience : MN Aug 7, 2025
Diabetic nephropathy (DN) is characterized by nephron degeneration induced by hyperglycemia, driven by complex interactions between glucose metabolism dysregulation and immune microenvironment dynamics. This study employed machine learning and bioinf...
Humans Machine Learning Macrophages Diabetic Nephropathies Mast Cells Phosphatidylinositol 3-Kinases Proto-Oncogene Proteins c-akt B-Lymphocytes Naphthyridines Mineralocorticoid Receptor Antagonists
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Individualized Treatment Effect Prediction with Machine Learning - Salient Considerations.

NEJM evidence Mar 26, 2024
BACKGROUND: Machine learning-based approaches that seek to accomplish individualized treatment effect prediction have gained traction; however, some salient challenges lack wider recognition.
Humans Machine Learning Algorithms Precision Medicine Female Aged Male Stroke Volume Middle Aged Treatment Outcome Heart Failure Spironolactone Mineralocorticoid Receptor Antagonists
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Treatment response to spironolactone in patients with heart failure with preserved ejection fraction: a machine learning-based analysis of two randomized controlled trials.

EBioMedicine Sep 7, 2023
BACKGROUND: Whether there is a subset of patients with heart failure with preserved ejection fraction (HFpEF) that benefit from spironolactone therapy is unclear. We applied a machine learning approach to identify responders and non-responders to spi...
Humans Machine Learning Algorithms Female Aged Male Stroke Volume Middle Aged Treatment Outcome Randomized Controlled Trials as Topic Heart Failure Spironolactone Mineralocorticoid Receptor Antagonists
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