Jinyuan Zhang
Beijing, 100163, China
Last Updated: 09/26/2026
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Found 21 publications
Development of a real-world, therapeutic drug monitoring-informed model to predict teicoplanin daily dose in pediatric intensive care unit patients with bacterial infections.
Journal: International journal of clinical pharmacy
Published: January 06, 2026
Personalized prediction of initial valproic acid dose in children with epilepsy using machine learning techniques.
Journal: International journal of clinical pharmacy
Published: October 27, 2025
Magnesium Isoglycyrrhizinate Combined With Steroid Is Superior to Steroid Monotherapy in Checkpoint Inhibitor-Induced Liver Injury.
Journal: Liver international : official journal of the International Association for the Study of the Liver
Published: June 04, 2025
A machine learning model for hypoglycemia risk prediction in hospitalized patients with diabetes: development and validation.
Journal: Diabetes research and clinical practice
Published: April 01, 2025
WITHDRAWN: A Machine Learning Model for Real-Time Hypoglycemia Risk Prediction in Hospitalized Diabetic Patients: Development and Validation.
Journal: Research square
Published: March 31, 2025
Effectiveness of ulinastatin in critical care patients in real world: a retrospective multi-center study.
Journal: Expert review of clinical pharmacology
Published: October 01, 2024
Artificial intelligence-based model for dose prediction of sertraline in adolescents: a real-world study.
Journal: Expert review of clinical pharmacology
Published: January 10, 2024
Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence.
Journal: International journal of clinical pharmacy
Published: November 24, 2023
Personalized venlafaxine dose prediction using artificial intelligence technology: a retrospective analysis based on real-world data.
Journal: International journal of clinical pharmacy
Published: November 20, 2023
Last Updated: 09/26/2026