Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. As developing drugs is an expensive and lengthy process, technology can improve the cost, efficiency and speed at which new drugs can be discovered and tested. This book presents some of the growing advancements of technology in the field of drug development and how the computational approaches explained here can reduce the financial and experimental burden of the drug discovery process. This book will be useful to pharmaceutical science researchers and students who need basic knowledge of computational techniques relevant to their projects. Bioscientists, bioinformaticians, computational scientists, and other stakeholders from industry and academia will also find this book helpful.

Fiber and Textile Engineering in Drug Delivery Systems explains how innovative textile processing methods including rotary spinning, microfluidics, wet spinning and electrospinning can be used to produce novel drug delivery solutions. This topical book provides detailed descriptions of how to produce such new materials for this purpose, with foundational content to help readers from a range of backgrounds understand the context of material selection and design decisions. Emphasis is given to the engineering side of the manufacturing of the textile and its role in drug delivery, but this also acts as a guide to pharmaceutical applications of textile fibers for materials scientists. Drug delivery research is rapidly expanding and experimenting with new materials to drive improved clinical outcomes as the efficacy of the therapeutic molecule is highly dependent on the right choice of carrier system. Recently, fiber based carriers at both nano and micro scales are gaining interest in the scientific community due to ease of manufacturing, high surface area to volume ratio, desirable drug release kinetics and high mechanical strength.

Computational Biology for Stem Cell Research is an invaluable guide for researchers as they explore HSCs and MSCs in computational biology. With the growing advancement of technology in the field of biomedical sciences, computational approaches have reduced the financial and experimental burden of the experimental process. In the shortest span, it has established itself as an integral component of any biological research activity. HSC informatics (in silico) techniques such as machine learning, genome network analysis, data mining, complex genome structures, docking, system biology, mathematical modeling, programming (R, Python, Perl, etc.) help to analyze, visualize, network constructions, and protein-ligand or protein-protein interactions. This book is aimed at beginners with an exact correlation between the biomedical sciences and in silico computational methods for HSCs transplantation and translational research and provides insights into methods targeting HSCs properties like proliferation, self-renewal, differentiation, and apoptosis.

The goal of modern dentistry is to restore the patient to normal contour, function, comfort esthetics and health. The implant dentistry has unique ability to achieve this goal as it offers the increased function, improved strength, Bone preservation and better pschycological results as compared to conventional complete dentures. The placement of implants should not be undertaken without careful consideration of many variables, including systemic and local host factors and the design of the prosthesis. The ability to reliably identify patients and conditions with greater potential for failure would be valuable. Hence, treatment planning for the placement and restoration of Osseo integrated dental implant involves the consideration of many variables, including systemic and local host factors and the design of the prosthesis. With appropriate diagnosis and conscientious treatment planning, the use of endosseous oral implants enjoys good prognosis.