We are rapidly approaching a future in which cancer patient digital twins will reach their
potential to predict cancer prevention, diagnosis, and treatment in individual patients. This …

Featured Application Complexity, heterogeneity, and treatment resistance of cancers create
challenges in achieving successful treatment outcomes. Personalized cold atmospheric …

This review explores the multifaceted landscape of renal cell carcinoma (RCC) by delving
into both mechanistic and machine learning models. While machine learning models …

Cancer systems epidemiology: Overcoming misconceptions and integrating systems
approaches into cancer research | PLOS Medicine Skip to main content Advertisement …

Glioblastoma (GBM) is an aggressive primary brain cancer that currently has minimally
effective treatments. Like other cancers, immunosuppression by the PD-L1-PD-1 immune …

This study aims to discuss the impact of discrete-time delay on the anti-tumor immune
response against tumor growth, excess levels of estrogen, and the source rate of immune …

The evolution of breast tumors greatly depends on the interaction network among different
cell types, including immune cells and cancer cells in the tumor. This study takes advantage …

In this study, we propose a fat-estrogen-breast cancer mathematical model to discuss the
effect of body mass, estrogen, and the immune system on the evolution of cancer cells. To …

Mingqian Huang, MD, is an associate professor of diagnostic, molecular, and interventional
radiology at Mount Sinai Health System. She is also a didactic faculty member associated …

The most common kind of cancer among women is breast cancer. Understanding the tumor
microenvironment and the interactions between individual cells and cytokines assists us in …