Introducing Critical Genes in Response to Photodynamic Therapy: A Network Analysis
https://ctrmrc.tums.ac.ir//مقالات-علمی/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 (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. In the present study, molecular events after using PDT in the presence o
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
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 progression. Due to the lack of targeted drugs and the other features of the disease, the survival rate for patients is extremely low. Methods The related dysregulated proteins for liver cance
Population pharmacokinetics of vancomycin in patients with diabetic foot infection: a comparison of five models
https://ctrmrc.tums.ac.ir//article/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 diabetic foot infections (DFIs) Abstract Purpose This study aimed to compare individual pharmacokinetic (PK) parameters of vancomycin with predicted values from five population PK models in patients with diabetic foot infections (DFIs) Methods Patients with a diagnosis of DFI and an estimated glomerular filtration rate (eGFR) ≥ 30 m
