Handbook Of Research On Nano Strategies For Combatting Antimicrobial Resistance And Cancer

Multidrug-resistant bacteria play a significant role in public health by destroying the potency of existing antibiotics. Meanwhile, cancer remains one of the most common health problems that impact society, resulting in many deaths worldwide. Novel strategies are required to combat antimicrobial resistance and create efficient anticancer drugs that could revolutionize treatment. Nanomedicine is one such innovation that plays a significant role in developing alternative and more effective treatment strategies for antimicrobial resistance and cancer theranostics. The Handbook of Research on Nano-Strategies for Combatting Antimicrobial Resistance and Cancer is an essential scholarly resource that examines (1) how to overcome the existing, traditional approaches to combat antimicrobial resistance and cancer; (2) how to apply multiple mechanisms to target the cancer cells and microbes; and (3) how the nanomaterials can be used as carriers. Featuring a range of topics such as bacteriophage, nanomedicine, and oncology, this book is ideal for molecular biologists, microbiologists, nanotechnologists, academicians, chemists, pharmacists, oncologists, researchers, healthcare professionals, and students.

Cancer continues to be a growing problem as it is the foremost cause of death worldwide, killing millions of people each year. The number of people battling cancer continues to increase, owing to different reasons, such as lifestyle choices. Clinically, determining the cause of cancer is very challenging and often inaccurate. Incorporating efficient and accurate algorithms to detect cancer cases is becoming increasingly beneficial for scientists in computer science and healthcare, as well as a long-term benefit for doctors, patients, clinic practitioners, and more. Specifically, an automation of computation in machine learning could be a solution in the next generation of big data science technology. Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis presents algorithms that have been developed to evaluate big data approaches and cancer research. The chapters include artificial intelligence and machine learning approaches, as well as case studies to solve the predictive issues in colon cancer research. This book includes concepts and techniques used to run tasks in an automated manner with the intent to improve better accuracy in comparison with previous studies and methods. This book also covers the processes of research design, development, and outcome analytics in this field. Doctors, IT consultants, IT specialists, medical software professionals, data scientists, researchers, computer scientists, healthcare practitioners, academicians, and students can benefit from this critical resource.

NANOTECHNOLOGY IN INTELLIGENT FOOD PACKAGING This book is a state-of-the-art exposition of nanotechnology and food packaging which is undergoing rapid advancement. This book is specially designed with an emphasis on the state-of-the-art in nanotechnology and food packaging. It offers fascinating techniques for producing smart and active food packaging and also discusses its toxicity and the role that nanosensors play in detecting different pathogens in food packaging. The concluding chapters also explain recent developments concerning the incorporation of health supplements in food packaging and their future role in producing intelligent food packaging. The 16 chapters of this book were contributed by academic and industry experts working in their respective areas of research and are thoughtfully arranged in a systematic fashion that preserves the flow of knowledge. An attempt has been made to include all the information in a single monograph to better understand the topics and technologies involved in the application of nanotechnology in intelligent food packaging. Audience The book is aimed at researchers, industry scientists such as chemists, biologists, polymer technologists, food packaging industrialists, biotechnologists, health experts, quality/food safety officials, and policymakers. It will also be helpful to graduate students in the fields of materials science, polymer science, and biotechnology to better understand the fundamental concepts involved in food packaging in relation to extending shelf life.

Innovative and fusion technologies have shown an incredible ability to improve various aspects of society, such as healthcare systems. Nanobiotechnology is one such technology that is being applied to medical equipment and treatment approaches. Many pharmaceutical and medical companies have begun to count on medical nanotechnology due to its abundant applications and practical uses. Innovative Approaches for Nanobiotechnology in Healthcare Systems is a pivotal reference source that provides insights into a comprehensive collection of novel techniques used for the development of safe drugs using the available resources for diverse deadly diseases. This book discusses the various platforms of nanobiotechnology that are utilized in various fields. It is expected that bionanosytems will play a crucial role in the treatment of human diseases and the improvement of existing healthcare systems. This book is ideal for scientists, biotechnologists, microbiologists, medical professionals, entrepreneurs, policymakers, researchers, academicians, and students.

Biopolymers for Biomedical Applications The twenty chapters written by experts in the field of biopolymers and biomedical engineering, provide a complete resource that systematically discusses the most widely used biopolymers and their biomedical applications, and presents all the important research and developments that have occurred in the field. In recent decades, significant progress has been made in polymer science for biomedical applications. The use of biopolymers specifically attracted the focus on the development of therapeutic polymeric systems. The exclusive features of biopolymers, such as biodegradability and biocompatibility make them highly sought after, and major research conducted with them has resulted in various therapeutic systems. However, until now only a few showed a potential to be appropriate for human use. Each chapter covers a single biopolymer, its properties, and biomedical applications. The chapters are arranged systematically, with the most common biopolymers discussed early in the book to give more insight into the field. Further, a specific chapter is dedicated to the application of biopolymers for wound healing. Later, specific chapters are dedicated to the application of bioplastics and biopolymers for the development of medical devices and biosensors, respectively. Additionally, a chapter is dedicated to the application of biopolymers in the field of dentistry, with a special focus on their risk to human health. Keeping in mind recent advanced technologies, a chapter is dedicated solely to the latest progress of biopolymers in 3D and 4D printing for biomedical applications. The final chapter comprehensively explains the future perspectives of biopolymers in the biomedical field. Audience The book is a reference source for scientists, research scholars, chemical and polymer engineers, biologists, biotechnologists, polymer technologists, industrialists, health experts, and policymakers.

Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.

Improving quality of life is one of the main advantages of integrating new innovations into medicine. New technologies are revolutionizing medicine and opening new opportunities for patients, doctors, clinics, and companies. The patient's well-being is monitored autonomously by smartphones, digital medical records simplify everyday clinical work, virtual reality is used for treatment, and robots help in the operating room. The new technological possibilities in healthcare not only change patients’ lives, but also the work of doctors, clinics, and companies. In the fields of healthcare and medicine, new technologies can be used for patient communication, health monitoring, or for the treatment of patients, and modern research is devoted to advancing and understanding these technologies. Ethical Implications of Reshaping Healthcare With Emerging Technologies includes the most up-to-date research in the fields of healthcare and medicine worldwide, provides answers to the forms of treatment that are already possible in medicine, and illuminates the future possibilities that are already being researched. In addition, today's knowledge is translated and shown in how new technologies such as autonomous VR-system can be used for pain reduction as part of a treatment. Finally, this book examines the ethical guidelines in healthcare and medicine that are associated with the rapid development of these technologies. This book will be useful for the healthcare industry, hospital administration, the health insurance industry, doctors, healthcare workers, business professionals, IT specialists, medical software designers, scientists, practitioners, researchers, academicians, and students looking for the latest information on the use of emerging technologies in healthcare settings.

There are more than 80 different sleep disorders including insomnia, sleep apnea, restless leg syndrome, hypersomnia, circadian rhythm disorders, and parasomnia. Good sleep is necessary for optimal health and can affect hormone levels and weight. The use of artificial intelligence (AI) and biomedical signals and images can help in healthcare diagnostics that are related to these and other sleep disorders. Advancing the Investigation and Treatment of Sleep Disorders Using AI presents an overview of sleep disorders based on machine intelligence methods in order to learn and explore the latest advancements, developments, methods, systems, futuristic approaches, and algorithms towards sleep disorders and to address their challenges. This book also discusses recent and future advancements in various feature extraction techniques and machine learning methods. Covering topics such as biomedical signal processing, augmented reality for clinical investigation, and sleep disorder detection, this book is essential for sleep medicine practitioners, clinical psychologists, psychiatrists, medical technologists, doctors, IT specialists, biomedical engineers, researchers, graduate students, and academicians.