The authors in [1] had made an amazing job in reviewing the vast literature of tumor
dynamical modeling. Recently the amount of mathematically oncology papers has been …

Mathematical models are a core component in the foundation of cancer theory and have
been developed as clinical tools in precision medicine. Modeling studies for clinical …

The response of cancer cells to drugs is determined by various factors, including the cells'
mutations and gene expression levels. These factors can be assessed using next …

I am Dr. Himanshu Kaul, and I am a Royal Academy of Engineering Research Fellow at the
University of Leicester (UK). Currently, I have cross-appointments with the School of …

Drawing on concepts from experimental biology, computer science, informatics,
mathematics, and statistics, systems biologists integrate data across diverse platforms and …

Sensitivity analysis is an effective tool for systematically identifying specific perturbations in
parameters that have significant effects on the behavior of a given biosystem, at the scale …

Ordinary differential equation models have become a standard tool for the mechanistic
description of biochemical processes. If parameters are inferred from experimental data …

One of the main objectives in systems biology is to understand the biological mechanisms
that give rise to the phenotype of a microorganism by using high-throughput technologies …

Mathematical and computational models of biological systems are increasingly complex,
typically comprised of hybrid multi-scale methods such as ordinary differential equations …

Complex systems are characterized by the dynamic interaction of numerous and
heterogeneous entities, at various temporal and spatial scales, leading to nonlinear …