AIMC Topic: Selective Serotonin Reuptake Inhibitors

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Machine Learning Model for Predicting Sertraline-like Activities and Its Impact on Cancer Chemosensitization.

ACS chemical neuroscience Aug 20, 2025
Selective serotonin reuptake inhibitors (SSRIs) like sertraline are crucial in treating depression and anxiety disorders, and studies indicate their potential as chemosensitizers in cancer therapy. This research develops a machine-learning predictive...
Humans Machine Learning Neoplasms Antineoplastic Agents Support Vector Machine Antidepressive Agents Selective Serotonin Reuptake Inhibitors Sertraline
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Effect of Cumulative Exposure on the Efficacy of Paroxetine: A Population Pharmacokinetic-Pharmacodynamic and Machine Learning Analyses.

CPT: pharmacometrics & systems pharmacology Jun 1, 2025
Selective serotonin reuptake inhibitors (SSRIs) are widely used in depression treatment. However, the relationship between treatment efficacy and plasma concentrations remains unclear. We assessed whether the anti-depressive response can be predicted...
Humans Machine Learning Female Aged Adult Male Middle Aged Depressive Disorder, Major Treatment Outcome Area Under Curve Models, Biological Paroxetine Selective Serotonin Reuptake Inhibitors
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Combining Machine Learning and Comparative Effectiveness Methodology to Study Primary Care Pharmacotherapy Pathways for Veterans With Depression.

Medical care Jun 1, 2025
OBJECTIVES: To demonstrate an innovative method combining machine learning with comparative effectiveness research techniques and to investigate a hitherto unstudied question about the effectiveness of common prescribing patterns.
Humans Machine Learning Female Adult Male Middle Aged Depressive Disorder, Major Primary Health Care United States Practice Patterns, Physicians' United States Department of Veterans Affairs Veterans Antidepressive Agents Comparative Effectiveness Research Selective Serotonin Reuptake Inhibitors
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Emulation of a Target Trial to Estimate the Effect of Selective Serotonin Reuptake Inhibitors on the Development of Antimicrobial-Resistant Infections using Electronic Health Record Data and Causal Machine Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Antimicrobial resistance is a significant public health concern. The use of selective serotonin reuptake inhibitors (SSRIs), medications commonly prescribed to treat depression, anxiety, and other psychiatric disorders, is increasing. Previous in vit...
Humans Machine Learning Drug Resistance, Bacterial Electronic Health Records Female Male Bacterial Infections Selective Serotonin Reuptake Inhibitors
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