Nanomedicine: A Systems Engineering Approach

This book offers a fundamental and comprehensive overview of nanomedicine from a systems engineering perspective, making it the first book in the field of quantitative nanomedicine based on systems theory. The book starts by introducing the concept of nanomedicine and provides basic mathematical modeling techniques that can be used to model nanoscale biomedical and biological systems. It then demonstrates how this idea can be used to model and analyze the central dogma of molecular biology, tumor growth and the immune system. Broad applications of the idea are further illustrated by Bayesian networks, multiscale and multiparadigm modeling and AFM engineering.

Offering a fundamental and comprehensive overview of nanomedicine from a systems engineering perspective, this is the first book in the field of quantitative nanomedicine based on systems theory. It will advance knowledge of nanoscale science and engineering by efficiently employing quantitative tools for fundamental biomedical engineering and biological science research. The volume begins by introducing the concept of nanomedicine and provides basic mathematical modeling techniques that can be used to model nanoscale biomedical and biological systems. It then demonstrates how this idea can be used to model and analyze the central dogma of molecular biology, tumor growth, and the immune system. Broad applications of the idea are further illustrated by Bayesian networks, multiscale and multiparadigm modeling, and AFM engineering.

Mingjun Zhang is an associate professor of biomedical engineering at the University of Tennessee–Knoxville. Ning Xi lives in East Lansing, Michigan.