Introducing Critical Genes in Response to Photodynamic Therapy: A Network Analysis
https://ctrmrc.tums.ac.ir/article/Introducing-Critical-Genes-in-Response-to-Photodynamic-Therapy:-A-Network-Analysis
Introducing Critical Genes in Response to Photodynamic Therapy: A Network Analysis Introducing Critical Genes in Response to Photodynamic Therapy: A Network Analysis Introducing Critical Genes in Response to Photodynamic Therapy: A Network Analysis Photodynamic therapy (PDT) is applied as an efficient method for preventing the progress of cancers. Light and a photosensitive compound which is known as photosensitizer (PS) are the main parts of PDT. --> Abstract Introduction: Photodynamic therapy
Network analysis of liver cancer: a system biology approach
https://ctrmrc.tums.ac.ir/مقالات-علمی/Network-analysis-of-liver-cancer:-a-system-biology-approach
Network analysis of liver cancer: a system biology approach Network analysis of liver cancer: a system biology approach Network analysis of liver cancer: a system biology approach Aim: Determining critical dysregulated proteins in liver cancer was the main aim of this study --> Abstract Aim: Determining critical dysregulated proteins in liver cancer was the main aim of this study. Background: Liver cancer is a common health problem characterized by difficulties in early diagnosis and rapid progr
Population pharmacokinetics of vancomycin in patients with diabetic foot infection: a comparison of five models
https://ctrmrc.tums.ac.ir/مقالات-علمی/Population-pharmacokinetics-of-vancomycin-in-patients-with-diabetic-foot-infection:-a-comparison-of-five-models
Population pharmacokinetics of vancomycin in patients with diabetic foot infection: a comparison of five models Population pharmacokinetics of vancomycin in patients with diabetic foot infection: a comparison of five models Population pharmacokinetics of vancomycin in patients with diabetic foot infection: a comparison of five models Purpose: This study aimed to compare individual pharmacokinetic (PK) parameters of vancomycin with predicted values from five population PK models in patients with
