AIMC Topic: Cholinergic Antagonists

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Assessing the anticholinergic cognitive burden classification of putative anticholinergic drugs using drug properties.

British journal of clinical pharmacology Jun 11, 2024
AIMS: This study evaluated the use of machine learning to leverage drug absorption, distribution, metabolism and excretion (ADME) data together with physicochemical and pharmacological data to develop a novel anticholinergic burden scale and compare ...
Humans Machine Learning Computer Simulation Blood-Brain Barrier Cognition Models, Biological ATP Binding Cassette Transporter, Subfamily B, Member 1 Biological Availability Muscarinic Antagonists Cholinergic Antagonists
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Development and Validation of a Machine Learning Algorithm for Predicting Response to Anticholinergic Medications for Overactive Bladder Syndrome.

Obstetrics and gynecology Nov 1, 2019
OBJECTIVE: To develop and externally validate a prediction model for anticholinergic response in patients with overactive bladder (OAB).
Humans Machine Learning Algorithms Prognosis Female Reproducibility of Results Aged Adult Middle Aged Predictive Value of Tests Area Under Curve Urinary Bladder, Overactive Urinary Incontinence Cholinergic Antagonists
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