This article reviews classes of mathematical models used to understand and treat cancer, with the perspective of upcoming validated and clinically applicable cancer models.
This tutorial article introduces approaches to predict fluxes in chemical reaction networks inside living cells, with an emphasis on similarities to (smart) electrical grids.
This article describes how problems arising in the analysis of individual biological cells and of cell-to-cell variability have inspired foundational developments in machine learning.
From control and circuit theory perspectives, this article reviews efforts toward developing a control theory of natural and engineered spiking (mixed discrete and continuous) systems.
This article uses concepts ranging from cognitive science to control theory to discuss how learning in biological systems is possible outside of, or even without, a brain.
This expository article presents an introduction to the exciting field of genetic control systems (cybergenetics). It covers the basic theory, implementation, and applications of this nascent field.
This article reviews the field of computational protein design, focusing on the advances in the engineering of synthetic small-molecule-binding protein sensors as well as sensor–actuator proteins.
This article shows how complex tissues can develop from a
small number of elementary behaviors and proposes ways in which they can be
manipulated to yield synthetically designed shapes.