Artificial Neural Network for Drug Design, Delivery and Disposition

by Munish Puri, Yashwant Pathak PhD., Vijay Kumar Sutariya, Srinivas Tipparaju, Wilfrido Moreno

Overview

Artificial Neural Network for Drug Design, Delivery and Disposition provides an in-depth look at the use of artificial neural networks (ANN) in pharmaceutical research. With its ability to learn and self-correct in a highly complex environment, this predictive tool has tremendous potential to help researchers more effectively design, develop, and deliver successful drugs.

This book illustrates how to use ANN methodologies and models with the intent to treat diseases like breast cancer, cardiac disease, and more. It contains the latest cutting-edge research, an analysis of the benefits of ANN, and relevant industry examples. As such, this book is an essential resource for academic and industry researchers across the pharmaceutical and biomedical sciences.

Product Details

ISBN-13:	9780128015599
Publisher:	Elsevier Science
Publication date:	10/22/2015
Pages:	440
Product dimensions:	7.60(w) x 9.40(h) x 1.10(d)

About the Author

Yashwant Pathak, is Professor and Associate Dean for the Faculty Affairs at the College of Pharmacy, at the University of South Florida. Tampa, USA. His area of research is in health care education, nanotechnology, drug delivery systems and nutraceuticals.

Table of Contents

Part I – Basics of ANN: Concept and Strategy in Drug DesignPart II – Basics and Application of ANN in Drug DiscoveryPart III – ANN in Drug DeliveryPart IV – ANN in Drug DispositionPart V – ANN in Various Applications in Medicine

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From the Publisher

This book provides a pioneer reference devoted to the Artificial Neural Network (ANN) in drug discovery, delivery, and disposition that contains valuable insights and applications to pharmaceutical and biomedical research. It is an essential resource for both academic and industry researchers.