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This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.
When fate brings Vihan, a charming and intelligent young man, and Ahana, a breathtaking beauty, together, their whirlwind romance ignites an intense passion. But just as Vihan gathers the courage to reveal his heart, a shattering calamity rips them apart. Five years later, they reunite at a wedding, yet the shadows of their past still linger. What hidden secrets tore them apart? Can Vihan rekindle Ahana's love, or is their relationship forever doomed? Will their reunion fan the flames of their lost love or succumb to the heartache that once divided them?
Comprehensive yet succinct insight into the prevention, diagnosis, and treatment of infectious diseases including COVID-19, mpox, Ebola, and Lyme disease Rising Contagious Diseases provides basic information about preventing and treating threatening infectious diseases from viral, bacterial, and parasitic sources, including 28 emerging or recurring diseases like COVID-19, mpox, Ebola, bird and swine flu, malaria, Legionnaires', and others. The text highlights molecular surveillance and epidemiology (including zoonotic pathogens or their variants), innovative strategies for pathogen detection, drug and vaccine development, appropriate preventive measures, cost-effective diagnostic procedures ...
Volume 1: Strategies for Therapeutic Cancer Vaccine Development deals with strategies of cancer vaccine development, focussing on the techniques for the development of therapeutic cancer vaccines and the role of tumor antigens, proteins/peptides, microbial genes, and stem cells for the development of vaccines for cancer management. . Volume 2: Delivery Strategies for Cancer Vaccine and Immunotherapy in Management of Various Carcinomas covers delivery strategies of cancer vaccines for the management of various forms of carcinoma, examining the prospects of delivering immuno-oncology therapies, focusing specifically on effective drug delivery strategies for the treatment of lung, prostate, and pancreatic carcinomas.
This book examines the interactions of nanomaterials with the biological system. The chapters of the book explore the natural and synthetic biomaterials that modulate immune responses for their applications in drug delivery and tissue engineering. Further, the book discusses the implications of the physiochemical properties of nanoparticles and their microenvironment on their interactions with biological systems. The chapters also present the recognitive capabilities of biomaterials for the development of novel strategies for the detection and treatment of autoimmune disorders. The book also introduces nanotechnology platforms for drug delivery and highlights current and emerging nanotechnol...
This two volume set (CCIS 1776-1777) constitutes the refereed proceedings of the 7th International Conference on Computer Vision and Image Processing, CVIP 2022, held in Nagpur, India, November 4–6, 2022. The 110 full papers and 11 short papers were carefully reviewed and selected from 307 submissions. Out of 121 papers, 109 papers are included in this book. The topical scope of the two-volume set focuses on Medical Image Analysis, Image/ Video Processing for Autonomous Vehicles, Activity Detection/ Recognition, Human Computer Interaction, Segmentation and Shape Representation, Motion and Tracking, Image/ Video Scene Understanding, Image/Video Retrieval, Remote Sensing, Hyperspectral Image Processing, Face, Iris, Emotion, Sign Language and Gesture Recognition, etc.
Nanoscience and nanotechnology are poised for continued growth due to their numerous benefits in everyday life, including applications in human health, food processing, environmental safety, and device engineering. Nanomaterials have been utilized unknowingly for thousands of years; for instance, gold nanoparticles were used in medicine and to stain drinking glasses. Biocompatible smart nanosystems can create multifunctional platforms for diverse technical and biomedical applications, such as sensing, environmental remediation, catalysis, biomedicine, and optoelectronics. In this book, esteemed researchers from all over the world have contributed research and review articles on smart nanosystems across various aspects. This compilation is designed to be valuable for nanoscience research groups as well as Ph.D. and graduate students, introducing them to the world of smart nanosystems and opening new ways of exploring their possible use in diverse scientific and practical areas.
This book provides detailed and practical information for anesthesia providers worldwide who are challenged with providing anesthesia for both emerging and infrequently performed procedures. Concise and well-structured 42 chapters in this book provide accurate and up-to-date information that helps the reader to safely anesthetise patients presenting for a variety of procedures such as conjoined twin separation, pediatric heart and lung transplantation, pancreas and small intestine transplantation, endobariatric procedures, peroral endoscopic myotomy, jugular foramen tumors, robotic gynecological surgeries, proton beam therapy and many other complex surgeries and procedures. Anaesthesia for Uncommon and Emerging Procedures fills a unique void long felt by anesthesia providers. The book is a must for in every department or library as it provides handy reference even for providers engaged in providing anesthesia for such procedures on a regular basis. Anesthesiologists, CRNAs/AAs and those in in preoperative clinics such as hospitalists and APRN/PA providers will find this book to be an invaluable resource for optimizing outcomes in anesthesia.
Train Travel as Embodied Space-Time in Narrative Theory argues that the train is a loaded trope for reconfiguring narrative theories past their “spatial turn.” Atsuko Sakaki’s method exploits intensive and rigorous close reading of literary and cinematic narratives on one hand, and on the other hand interdisciplinary perspectives that draw out larger connections to narrative theory. The book utilizes not only narratological frameworks but also concepts of space-focused humanity oriented social sciences, such as human geography, mobility studies, tourism studies, and qualitative/experience-based ethnography, in their post “narrative turn.” On this interface of narrative studies and spatial studies, this book pays concerted attention to the formation of affordances, or relations in which the human subject uses a space-time and things in it, in terms of passenger experience of the train carriage and its extension. Affiliation: Atsuko Sakaki, University of Toronto, Toronto, Canada.
The disability-adjusted life year (DALY) is a generic measure of health effect that can be used in cost-effectiveness analysis as an alternative to the quality-adjusted life year (QALY). Infectious diseases are one of the major to cause significant losses of DALY and QALY. Human infectious diseases are disorders that are triggered by the micro-organisms such as bacteria, fungi, viruses, or parasites. The majority of such diseases are contagious and create a public health menace. There are several reasons why infectious diseases are deadly diseases, and one of the primary reasons is the drug resistance developed over time. Drug resistance-associated mutations are linked to increasing drug eff...