The extracellular matrix (ECM) is a highly complex structure through which biochemical and
mechanical signals are transmitted. In processes of cell migration, the ECM also acts as a …

In order to conduct an in-depth study on financial transactions of block chain, the classical
back propagation (BP) neural network based on the artificial neural network (ANN) model is …

Motivation Mathematical models of biological processes altered in cancer are built using the
knowledge of complex networks of signaling pathways, detailing the molecular regulations …

The progress of three-dimensional (3D) bioprinting techniques has driven several advances
in tissue engineering (TE), which allow the obtention of biological constructs analogous to …

We present the EVONANO platform for the evolution of nanomedicines with application to
anti-cancer treatments. Our work aims to decrease both the time and cost required to …

In systems biology, mathematical models and simulations play a crucial role in
understanding complex biological systems. Different modelling frameworks are employed …

Accurate and reliable model representations of cancer dynamics are milestones in the field
of cancer research. Mathematical modeling approaches are abundantly used in cancer …

The elevation of Synthetic Biology from single cells to multicellular simulations would be a
significant scale-up. The spatiotemporal behavior of cellular populations has the potential to …

Due to the intricate and diverse nature of industrial systems, traditional optimization
algorithms require a significant amount of time to search for the optimal solution throughout …

Abstract Background and Objective: Cancer tumors constitute a complicated environment for
conventional anti-cancer treatments to confront, so solutions with higher complexity and …