Publications by authors named "Arash Poursheykhani"
J Biomed Phys Eng
June 2021
Article Synopsis
- A computational model was developed to analyze the epidermal growth factor receptor (EGFR) signaling pathway, which is crucial for understanding cancer dynamics and predicting quantitative responses.
- The study specifically examined the interaction of Arsenic trioxide (ATO) with the EGFR signaling pathway, highlighting its role as a chemotherapy agent that affects EGFR expression based on concentration.
- By integrating Fuzzy Logic and Petri Nets, the model improved insights into the dynamics of the EGFR signaling pathway, enhancing the ability to analyze biological networks more comprehensively.
