Comparison of Population Pharmacokinetic Modeling and Machine Learning Approaches for Predicting Voriconazole Trough Concentrations in Critically Ill Patients.

Despite the widespread use of voriconazole in antifungal treatment, its high pharmacokinetic and pharmacodynamic variability may lead to suboptimal efficacy, especially in intensive care unit (ICU) patients. Machine learning (ML), an artificial intelligence modeling approach, is increasingly being applied to personalized medicine. The effectiveness of ML models for predicting voriconazole blood concentrations in ICU patients, compared to traditional population pharmacokinetics (popPK) models, has been uncertain until now.

Biotransformation of chloramphenicol by enriched bacterial consortia and the newly isolated bacterial strain Bordetella sp. C3: Detoxifying biotransformation pathway and its potential application in agriculture.

Limited sources of consortia/pure cultures that degrade chloramphenicol (CAP) and the incomplete biodegradation profiles of CAP hinder the remediation of CAP pollution. In this study, two CAP-degrading consortia (designated as CM and PM) were obtained after long-term acclimation, and Alcaligenaceae and Enterobacteriaceae enriched in CM and PM, respectively. Notably, Bordetella sp.

[Effects of light on flavonoids accumulation and related gene expression in suspension cultures of Scutellaria baicalensis].

Objective: To investigate the effects of light on baicalin,baicalein accumulation and related genes expression in suspension cultures of Scutellaria baicalensis.

Method: The content of baicalin, baicalein in suspension cultures of S. baicalensis was determined by HPLC.