A comprehensive and systematic summary on computational aspects of nanobiotechnology and its biomedical applications
Over the past decade, nanoparticles have been used in the field of various diagnostic nanoplatforms, including liposomes, polymeric micelles, quantum dots, Au/Si/polymer shells, and dendrimers. Although recent data on in vivo nanoparticle drug delivery has shown remarkably improved efficacy over traditional drug delivery, there are still many challenges in the nanomedicine field. Therefore, the deep insights on computational and modeling aspects of advanced nanomaterials and nanotechnology related to the field of biomedicine are highly required.
Computational Approaches in Biomedical Nano-Engineering comprehensively and systematically treats modern understanding of the nanobiotechnology and its therapeutic applications. It covers the nanomedicine, imaging, targeted therapeutic applications, and experimental results, along with modeling approaches. It presents the fundamentals on the computational and modeling aspects of advanced nanomaterials and nanotechnology specifically in the field of biomedicine, and also provides readers with inspirations for new development of diagnostic imaging and targeted curative uses.
Computational Approaches in Biomedical Nano-Engineering is an excellent resource that will be of great interest to biotechnologists, materials scientists, bioengineers, biochemists, and chemical engineers, as well as pharmaceutical chemists.
Ayesha Sohail, PhD, is an expert on nonlinear science, nanobiotechnology, and numerical analysis. She has successfully developed and implemented numerical tools to solve systems governing the nanotechnology problems.
Zhiwu Li is a full professor at Xidian University, China. He has been a visiting professor at the University of Toronto, Technion (Israel Institute of Technology), Martin-Luther University, Conservatoire National des Arts et Métiers (Cnam), Meliksah Universitesi, King Saudi University, and the University of Cagliari. His current research interests include Petri net theory and application, supervisory control of discrete event systems, workflow modeling and analysis, system reconfiguration, game theory, and data and process mining.
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