Cancer results from a complex interplay of different biological, chemical, and physical
phenomena that span a wide range of time and length scales. Computational modeling may …

The spatiotemporal variations in tumor vasculature inevitably alters cell proliferation and
treatment efficacy. Thus, rigorous characterization of tumor dynamics must include a …

We simulated the invasion of a proliferating, diffusing tumor within different surrounding
tissue conditions using a hybrid mathematical model. The in silico invasion of a tumor was …

Numerous approaches have been employed to improve the efficacy of drug and gene
delivery systems, but their strategic development is hindered by a lack of mechanistic …

Multicellular tumour spheroids capture many characteristics of human tumour
microenvironments, including hypoxia, and represent an experimentally tractable in vitro …

Cancer is one of the leading causes of death all over the world. Among the strategies that
are used for cancer treatment, the effectiveness of chemotherapy is often hindered by factors …

Vascular normalization (VN) by anti-angiogenic factors may be efficacious for improving
drug delivery in solid tumors. In the present study, a 3D computational model is employed to …

Mathematical modeling of cerebral tumor growth is of great importance in clinics. It can help
in understanding the physiology of tumor growth, future prognosis of tumor shape and …

Nano-based drug delivery systems hold significant promise for cancer therapies. Presently,
the poor accumulation of drug-carrying nanoparticles in tumors has limited their success. In …

Background and objective The effectiveness of current microwave ablation (MWA) therapies
is limited. Administration of thermosensitive liposomes (TSLs) which release drugs in …