Simulating cancer behavior across multiple biological scales in space and time, ie,
multiscale cancer modeling, is increasingly being recognized as a powerful tool to refine …

There have been many techniques developed in recent years to in silico model a variety of
cancer behaviors. Agent-based modeling is a specific discrete-based hybrid modeling …

Despite major scientific, medical and technological advances over the last few decades, a
cure for cancer remains elusive. The disease initiation is complex, and including initiation …

Cancer is a complex, multiscale process in which genetic mutations occurring at a
subcellular level manifest themselves as functional changes at the cellular and tissue scale …

The environmental impacts caused by construction waste have attracted increasing attention
in recent years. The effective management of construction waste is essential in order to …

Central nervous system (CNS) tumors come with vastly heterogeneous histologic,
molecular, and radiographic landscapes, rendering their precise characterization …

The healing of a fracture depends largely on the development of a new blood vessel
network (angiogenesis) in the callus. During angiogenesis tip cells lead the developing …

PDE-constrained optimization problems find many applications in medical image analysis,
for example, neuroimaging, cardiovascular imaging, and oncologic imaging. We review the …

Mathematical modeling has become a valuable tool that strives to complement conventional
biomedical research modalities in order to predict experimental outcome, generate new …

Glioblastoma multiform (GBM) tumor progression has been recognized to be correlated with
extracellular matrix (ECM) stiffness. Dynamic variation of tumor ECM is primarily regulated …