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Atlas of Single-Port, Laparoscopic, and Robotic Surgery
Minimally invasive surgery has become the standard treatment for many diseases and conditions. In the last decade, numerous studies have demonstrated that laparoscopic approaches have improved patients’ quality of life if compared with standard open procedures. Atlas of Single-Port, Laparoscopic, and Robotic Surgery serves as a guide in single-port, standard laparoscopy, and robotic surgery and shows how novel techniques, such as single-port laparoscopy and robotics, have recently evolved. The atlas illustrates the unique challenges that the new single-port surgery modality presents, including instruments crowding and articulation, and the advanced laparoscopic skills required to perform these procedures, such as the ability to move and control a flexible camera. It also illustrates how to efficiently and safely utilize the robot to perform most gynecologic procedures. This exceptional resource provides students, residents, fellows, operating room personnel, and practicing gynecologic surgeons with invaluable information about instrumentation, surgical technique, port systems, and the current research and development in robotics.
Vaccination of Special Populations: Protecting the Vulnerable
Vaccines prevent 3 million of deaths every year and are a crucial to combat antimicrobial resistance. An optimal implementation of existing vaccines could help to avert up to 1.5 million deaths as well as substantial disabilities. Indeed, vulnerable populations (VPs), including pregnant women, newborns, preterm infants, elderly and patients affected by chronic diseases are frequently undervaccinated and/or at risk of reduced vaccine efficacy, presenting a major health and economic burden to society. Vaccine development programs mainly focus on healthy populations; therefore, vaccination strategies are often based on data arising from healthy subjects.
Ovarian Cancer
If there is one aspect of current cancer research that represents a major ch- lenge in both novice and experienced researchers, it is the rapid advance in our understanding of the disease. Researchers can be required to switch from analysis of gene expression to kinetics of protein activation, from genetic studies to the analysis of protein funtion. Cancers are highly complex disease systems and researchers aiming to understand the functioning of cancer systems require access to a wide range of laboratory techiques from a broad range of research disciplines. Increasingly, however, published methods are incomplete or refer back to a series of previous publications each containing only a small...
Medical Data Analysis and Processing using Explainable Artificial Intelligence
The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical Presents explainable artificial intelligence (XAI) based machine analytics and deep learning in medical science Discusses explainable artificial intelligence (XA)I with the Internet of Medical Things (IoMT) for healthcare applications Covers algorithms, tools, and frameworks for explainable artificial intelligence on medical data Explores the concepts of natural langua...
