With the growing dependency on prescription drugs and concerns about the rise of opioid addiction, providing effective pain management alternatives is a primary concern for health professionals and all of society. Online tools and alternative therapies are becoming more prevalent in supporting the management of pain and provide treatment opportunities for patients who do not want to rely solely on prescription medication. Alternative Pain Management: Solutions for Avoiding Prescription Drug Overuse is an essential reference source that provides alternative solutions for managing and treating chronic pain, including through the use of mobile applications, online programs, self-management strategies, and virtual reality. Additionally, the book promotes a further understanding of pain and how it is diagnosed and reviews pharmaceutical accountability when prescribing drugs for pain management. Highlighting a range of topics such as cryotherapy, pain assessment, and prescription tracking, this publication is an ideal reference source for physicians, nurses, hospital staff, surgeons, medical professionals, pharmacists, researchers, academics, and upper-level students.

Advanced and Modern Approaches for Drug Delivery explores novel approaches currently used for drug delivery, including the must up-to-date techniques and technology. The approaches discussed allow pharmaceutical scientists to design effective drug delivery systems or devices for the management and treatment of numerous diseases and conditions. Detailed information on a wide variety of subjects, including dendrimers, lipid nanostructures, solid lipid nanoparticles, stimuli-responsive smart systems, self-assembled protein-drug nanoparticles, nanoconjugate formulations, nanofibers, iontophoretic systems, microneedle systems, ultra-sound triggered systems, targeted carrier-based intracellular delivery systems, resealed erythrocyte-based systems, 3 D-printing tool, site-specific monoclonal antibodies, and bio-inspired systems are all comprehensively discussed. With contributions from those in academia and industry, this book is an excellent reference for all those needing to understand drug delivery systems.

Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis. While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care. This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.