CJCE August Issue

摘要

This month’s editor’s choice article features research on the application of machine learning to clinical decision-making in medicine. “ Haemoglobin response modelling un-der erythropoietin treatment: Physiological model-informed machine learning method ,” written by Zhongyu Zhang and Zukui Li, “examines the use of physics-informedneural networks (PINN) for creating a model of haemoglobin (Hgb) response in patients with renal anemia during erythropoietin (EPO) treatment.” Even better, the studyconcludes that “this approach is effective in estimating individualized models for Hgb response and can provide a basis for developing optimal treatment plans in clinicalpractice.”