AI Medical Compendium Journal:
Journal of pharmacological and toxicological methods

Showing 1 to 5 of 5 articles

Lipopolysaccharide-induced abdominal nociception model in adult zebrafish (Danio rerio).

Journal of pharmacological and toxicological methods
In this study, a behavioral model of LPS-induced abdominal nociception was developed in adult zebrafish (Danio rerio), aZF. Initially, the toxicity of different LPS concentrations was assessed. The abdominal nociceptive response to the lowest LPS con...

Drug-target interaction prediction using reliable negative samples and effective feature selection methods.

Journal of pharmacological and toxicological methods
Machine learning-based approaches in the field of drug discovery have dramatically reduced the time and cost of the laboratory process of detecting potential drug-target interactions (DTIs). Standard binary classifiers require both positive and negat...

Prediction of GABA receptor antagonist-induced convulsion in cynomolgus monkeys by combining machine learning and heart rate variability analysis.

Journal of pharmacological and toxicological methods
Drug-induced convulsion is a severe adverse event; however, no useful biomarkers for it have been discovered. We propose a new method for predicting drug-induced convulsions in monkeys based on heart rate variability (HRV) and a machine learning tech...

An intelligent prognostic system for analyzing patients with paraquat poisoning using arterial blood gas indexes.

Journal of pharmacological and toxicological methods
The arterial blood gas (ABG) test is used to assess gas exchange in the lung, and the acid-base level in the blood. However, it is still unclear whether or not ABG test indexes correlate with paraquat (PQ) poisoning. This study investigates the predi...

Modeling analgesic drug interactions using support vector regression: a new approach to isobolographic analysis.

Journal of pharmacological and toxicological methods
BACKGROUND: Modeling drug interactions is important for illustrating combined drug actions and for predicting the pharmacological and/or toxicological effects that can be obtained using combined drug therapy.