This book reviews the latest advances in the development of silicon nano-biotechnology for biological and biomedical applications, which include biosensing, bioimaging, and cancer therapy. In this book, newly developed silicon nano-biotechnology and its biomedical applications are systematically introduced. For instance, fluorescent silicon nanoparticles, serving as novel high-performance biological nanoprobes, are superbly suited to real-time and long-term bioimaging. Silicon nanowire-based sensing platform is especially capable of sensitive, specific, and multiplexed detection of various biological species. Silicon-based nanocarriers with ultra-high drug-loading capacity are highly efficacious for "in vitro" and "in vivo" cancer therapies.

This book is intended for readers who are interested in the design of functional silicon nanostructures and their biological and biomedical applications. It uses silicon nanoparticles and silicon nanowires as models and discusses topics ranging from their synthesis to their biological applications, the goal being to highlight these exciting achievements as starting points in the field of silicon nano-biotechnology.

Yao He is a Professor at Institute of Functional Nano&Soft Materials (FUNSOM), Soochow University, China.

Yuanyuan Su is an Associate Professor at Institute of Functional Nano&Soft Materials (FUNSOM), Soochow University, China.

This book demonstrates the power of mathematical thinking in understanding the biological complexity that exists within the brain. It looks at the latest research on modelling of biochemical pathways within synapses, and provides a clear background for the study of mathematical models related to systems biology. Discussion then focusses on developments in computational models based on networks linked to synaptic plasticity. The models are used to understand memory formation and impairment and they provide a mathematical basis for memory research.Computational Systems Biology of Synaptic Plasticity is a valuable source of knowledge to postgraduate students and researchers in computational systems biology, and as a reference book for various techniques that are needed in modelling biological processes.