Elemene Antitumor Drugs: Molecular Compatibility Theory and its Applications in New Drug Development and Clinical Practice mainly introduces the research and development of natural anti-tumor drug elemene and systematic basic and clinical research based on it. First of all, the basic principle of the compatibility theory of traditional Chinese medicine and the research and development process of the natural anti-tumor drug elemene under the guidance of this principle are comprehensively introduced. At the same time, the traditional extraction and separation of elemene and the new biosynthesis technology developed by the author's team are described in detail. Then, the systematic anti-tumor mechanism research of elemene was introduced, including its unique multi-target and comprehensive anti-tumor mechanisms, and its detailed mechanism for treating specific tumors. Under the guidance of compatibility theory, clinical research on the combined application of elemene and different chemotherapeutic drugs has been further carried out, achieving positive results in clinical practice. Finally, the book also introduces the research and exploration of new drug delivery systems of elemene, as well as the structural modification and drug discovery progress taking elemene structure as the lead compound.

Drugs in Use: Case Studies for Pharmacists and Prescribers helps you to bridge the gap between theoretical knowledge about medicines and the practical application to your patients. With an ever increasing shift of focus from theory to practice this book promotes evidence-based medicine and illustrates how you can optimise drug therapy in response to the needs of your individual patients. It will prove a valuable resource to pharmacists and prescribers. The cases have been updated to reflect recent changes in medicines use and this new edition boasts: New evidence concerning optimal care; Additional coverage of situations with difficulties in treatment optimisation; Significant focus on major advances in therapeutics; Self study questions and answers within each case. With self study questions and answers to accompany each case, you will find this a useful resource throughout your career. As a student, it will assist your studies and as a practicing pharmacist or prescriber in hospital or community it will aid your continuing professional development.

Progress in Medicinal Chemistry, Volume 56 provides a review of eclectic developments in medicinal chemistry. This volume includes chapters covering recent advances in cancer therapeutics, fluorine in medicinal chemistry, a perspective on the next generation of antibacterial agents derived by manipulation of natural products, a potential new era for Chagas Disease drug discovery, and imaging in drug development. Specific chapters cover timely topics, such as the development of LRRK2 inhibitors for the treatment of Parkinson's, and recent discoveries and developments in TRPA1 modulators. Users will find a comprehensive resource on the topic of medicinal chemistry that also discusses avenues for the acceleration of drug discovery programs.

Systems of Nanovesicular Drug Delivery provides a thorough insight into the complete and up-to-date discussions about the preparation, properties and drug delivery applications of various nanovesicles. This volume discusses cubosomes, proniosomes and niosomes, dendrimerosomes and other new and effective approaches for drug delivery. It will be a valuable title and resource for academics and pharmaceutical scientists, including industrial pharmacists, analytical scientists, health care professionals and regulatory scientists actively involved in pharmaceutical products and process development of tailor-made polysaccharides in drug delivery applications. Recently, there have been a number of outstanding nanosystems in nanovesicular carrier-forms (such as nanoemulsions, self-nanoemulsifying systems, nanoliposomes, nanotransferosomes, etc.), that have been researched and developed for efficient drug delivery by many formulators, researchers and scientists. However, no previously published books have covered all these drug delivery nanovesicles collectively in a single resource.

Adverse Effects of Engineered Nanomaterials: Exposure, Toxicology, and Impact on Human Health, Second Edition, provides a systematic evaluation of representative engineered nanomaterials (ENM) of high volume production and their high economic importance. Each class of nanomaterials discussed includes information on what scientists, industry, regulatory agencies, and the general public need to know about nanosafety. Written by leading international experts in nanotoxicology and nanomedicine, this book gives a comprehensive view of the health impact of ENM, focusing on their potential adverse effects in exposed workers, consumers, and patients. All chapters have been updated with new sections on the endocrine system and other organ systems. In addition, other newly added sections include introductory chapters on the physio-chemical characterization of nanomaterials and interactions between nanomaterials and biological systems, as well as a new chapter that explores risk assessment and management of nanomaterials. This book fills an important need in terms of bridging the gap between experimental findings and human exposure to ENM, also detailing the clinical and pathological consequences of such exposure in the human population.

Predictive Modeling of Drug Sensitivity gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications, and research challenges. It covers the major mathematical techniques used for modeling drug sensitivity, and includes the requisite biological knowledge to guide a user to apply the mathematical tools in different biological scenarios. This book is an ideal reference for computer scientists, engineers, computational biologists, and mathematicians who want to understand and apply multiple approaches and methods to drug sensitivity modeling. The reader will learn a broad range of mathematical and computational techniques applied to the modeling of drug sensitivity, biological concepts, and measurement techniques crucial to drug sensitivity modeling, how to design a combination of drugs under different constraints, and the applications of drug sensitivity prediction methodologies.