Rishabha Malviya

4D Printing is revolutionizing healthcare by enabling adaptive, patient-specific medical devices and advanced treatment options. 4D Printing in Healthcare provides a comprehensive exploration of 4D printing in healthcare, detailing how this innovative technology enhances the diagnosis and treatment of various health issues. It covers the principles and algorithms behind 4D-based printing, highlighting its transformative impact on healthcare. By adding the dimension of time to traditional 3D printing, 4D printing enables the creation of dynamic, self-transforming medical devices and structures. The book discusses the customization of medical implants, prosthetics, and drug delivery systems, emphasizing how personalization can greatly improve patient outcomes and quality of life. Each chapter explores the potential of 4D printing in different healthcare sectors, such as orthopedics, dentistry, tissue engineering, and more. Additionally, it underscores the potential cost savings in healthcare by using smart materials that adapt to environmental conditions or patient needs, reducing the need for frequent replacements and minimizing waste. The book offers a multidisciplinary perspective, bringing together insights from engineering, biomedical science, materials science, and medicine to showcase the innovations and possibilities of 4D printing in healthcare.

This book explores a wide range of methods for advanced solutions in the field of oncology. It explores the transformative role of AI in advancing cancer care, focusing on its applications in drug discovery, surgical progress, and digital twin technology. The book provides an in-depth analysis of AI's impact on various cancers, including breast, colorectal, brain, and others, and highlights its potential to enhance early detection, accurate diagnosis, and personalized treatment. The book will investigate the development and optimization of AI algorithms to achieve high accuracy in detecting malignant cells at different stages. The technologies encompass machine learning techniques to identify patterns in medical imaging, natural language processing to evaluate patient histories, and deep learning models to forecast treatment outcomes. Specific methodologies such as supervised and unsupervised learning models, convolutional neural networks for image analysis, and reinforcement learning for adaptive treatment strategies are provided. The utilization of case studies and real-world examples in cancer care will demonstrate every approach, enabling readers to gain a practical understanding of how these technologies might be implemented.

One of the most novel and promising strategies in medical research and the fight against cancer is the combination of DNA and messenger RNA vaccines. This new book explores the therapeutic uses, the biological processes, and the difficulties related to this novel strategy for cancer immunotherapy. Offering a unique perspective on different facets of DNA- and mRNA-based cancer vaccines, the authors present a thorough overview of the constantly changing field of cancer immunotherapy, from explaining the unique aspects of tumor angiogenesis and the role that non-coding RNAs play in treatment resistance, to investigating the most recent developments in gene therapy and splicing control. The volume also looks at this fascinating field’s future potential, giving cancer patients hope for less intrusive and more effective therapies.

This book explores the transformative role of artificial intelligence (AI) in diagnosing and treating neurological disorders. It offers a comprehensive overview of how AI can enhance diagnostic accuracy, improve treatment plans, and ultimately lead to better patient outcomes in the realm of neural health. It covers a wide range of topics, including fundamental AI technologies and their relevance in neural health, detailed case studies demonstrating the application of AI in diagnosing and treating neurological conditions, and the ethical, legal, and social implications of using AI in healthcare. It also delves into future trends and innovations in AI-driven neural health solutions. The book is essential for healthcare professionals, AI researchers, and neuroscientists as it bridges the gap between cutting-edge AI technologies and practical medical applications.

Advances in medical technology have brought the use of photosensitizing materials and light for treating diverse ailments to a new level, with reduced adverse effects and enhanced therapeutic outcomes. This new book focuses on diffusion optical imaging, a non-invasive imaging technique that allows for real-time visualization of the treatment area, and explores its application for treating patients through various modes. The volume discusses photodynamic treatement for pharmacological intervention, breast cancer diagnosis using biophotonics, photothermal therapy for cancer with gold nanoparticles, photobiomodulation therapy for the brain, with a specific focus on its potential impact on neurodegenerative conditions such as Alzheimer's and Parkinson's disease, and more.

" Sustainability in Healthcare: Advances in mHealth AI and Robotics" explores sustainable methods in the healthcare industry, focusing on rural and community healthcare improvement, the use of robots for sustainability, and the implementation of AI in healthcare. It also explores additive manufacturing, mobile health, biomedical engineering, and telemedicine's role in healthcare sustainability management. The book also discusses the ethical concerns, environmental, social, and economic implications of sustainability in healthcare supply chain management and pandemic management.

This book offers a comprehensive exploration of the convergence of generative artificial intelligence and disability assistance, seeking to highlight the revolutionary capabilities of AI technology in improving the lives of those with disabilities. Given the swift progression of AI capabilities, it is vital to comprehend how these innovations might be used to foster inclusivity, enhance accessibility, and deliver personalised assistance. This book aims to connect advanced research and practical applications with the specific requirements of individuals with disabilities. The book offers a detailed investigation of generative AI as an assistive tool for individuals with disabilities, encompassing fundamental principles of generative AI, case studies of effective applications, and critical analyses of ethical considerations and societal implications. The book provides a comprehensive analysis of several applications of generative AI for individuals with disabilities across various domains. Examples of generative AI applications encompass AI-assisted communication tools for individuals with speech problems, customised educational platforms for students with learning challenges, virtual reality settings that improve social engagement for individuals on the autistic spectrum and various others. These applications demonstrate how generative AI may improve accessibility and empower individuals by personalising experiences to their individual requirements.

"Digital Blockchain- Big Data, Artificial Intelligence and Virtual Reality in Healthcare Ecosystem" is a book that explores the revolutionary impact of blockchain, big data, and artificial intelligence (AI) on the pharmaceutical and healthcare sectors. The book discusses AI, big data, and their applications in drug research, clinical trials, regulatory compliance, and post-marketing surveillance. The book also discusses education and training in smart pharma, demonstrating the potential of AI, big data, and machine learning to improve workforce capacities. The book discusses intellectual property and data privacy issues, the legislative framework for AI adoption, ethical considerations, and future trends in AI-enabled drug research, manufacturing, and healthcare innovation. It is a valuable resource for healthcare professionals, industrial experts, and academicians, offering theoretical and practical insights.

The book Artificial Intelligence for Healthcare: Machine Learning and Diagnostics explores how AI and machine learning are reshaping healthcare, focusing on diagnosis, patient care, and treatment across various specialties. It covers AI applications in fields such as cardiovascular care, orthopedics, emergency medicine, ENT, and remote patient monitoring. Additionally, the book discusses AI’s transformative role in brain tumor surgery, dentistry, and elder care, showcasing its power to personalize therapies, predict outcomes, and enhance outpatient efficiency. Key chapters examine AI in pathology, specifically in image analysis and digital pathology, and its expanding influence in maternal and fetal health. This essential guide provides healthcare practitioners, researchers, clinical experts, and students with insights into AI's practical uses and future potential, serving as a valuable reference for AI-driven diagnostic advancements and healthcare solutions.

“A ground-breaking compilation that focuses on the integration of artificial intelligence and machine learning applications in cardiovascular healthcare... Offers helpful insights into the enormous potential of AI to change the landscape of cardiovascular care, from basic AI concepts to the most recent developments in AI-assisted wearables and diagnostic imaging.”—From the Foreword by Dr. Dhruv Galgotia, CEO–Galgotias University, IndiaToday, the need for effective and cutting-edge methods of diagnosis, treatment, and prevention of cardiovascular diseases is greater than ever before. Integrating deep learning and artificial intelligence into digital healthcare and medical environments has the potential to revolutionize cardiovascular health. The new book addresses this need by discussing emerging uses of artificial intelligence and machine learning in the prediction, diagnosis, treatment, and management of cardiovascular diseases. It looks at AI in wearable technology, nuclear cardiac imaging, coronary CT angiography, and non-contrast cardiac CT methods. It also explores the application of machine learning techniques in predicting and diagnosing cardiovascular diseases, revealing the potential for data-driven predictions and decisions that can improve patient outcomes. It explores the potential of AI in a variety of cardiology applications, including the classification of ECG signals, wearables with AI support, speech technologies in clinical settings, and more.

Neurological illnesses pose one of the biggest hazards to the healthcare system today. This new book brings together the latest methods of gene therapy that can be used to treat both inherited and sporadic neurodegenerative diseases. It presents the most significant advances in gene transfer methods as well as the most recent understandings of the mechanisms behind specific neurodegenerative illnesses, placing these into the context of gene therapy approaches for the central nervous system. The book introduces the basics of neurodegenerative conditions and the physiological basis for their occurrence in humans. It also discusses the various proteins useful in neuro diseases and their viral applications. The book explores how stem cells can be used to learn about the future of gene therapy along with the significance of the sequences that silence genes. It discusses the functions of astrocytes in different brain regions, as well as in-vivo research in gene therapy for neurodegenerative disorders.

This book addresses the limitations of existing therapeutic approaches using nanoparticles. Emerging Roles of Nanocarriers in Cancer Therapy will further provide information for the development of successful cancer nanomedicine therapies.FeaturesExplains different types of nanoparticles, targeting mechanisms, and approved nanotherapeutics for oncological implications in cancer treatment.Covers in detail the characteristics of various nanotechnology-based drug delivery systems.Discusses passive and active cellular targeting, ligand-based targeting of nanoparticles, and strategies to improve nanoparticle-cellular membrane interaction.Presents the application of nanotherapeutics, current challenges, and prospects, and describes the path of future research.Highlights smart strategies for improving the clinical impact of cancer nanomedicine.The text is primarily written for graduate students, and academic researchers in the fields of biotechnology, nanotechnology, drug delivery, pharmaceutical science, and pharmacology.

Brain Tumors and Nanotechnology explores the complex world of brain tumors and the ground-breaking role that nanotechnology is playing in both detection and treatment. It offers comprehensive and up-to-date strategies in the treatment of brain tumors, with a special emphasis on the revolutionary impact of nanotechnology. It begins with an in-depth analysis of the anatomy of the brain and nervous system, highlighting the constituents of the central nervous system (CNS) such as neurons and glial cells. It also offers a thorough understanding of the intricate structure of the human brain, including the hemispheres, brainstem, diencephalon, and ventricular system. It then reveals the understanding of the complicated nature of brain tumors and the potential for nanotechnology to revolutionize their diagnosis and treatment. Brain Tumors and Nanotechnology will be a longstanding valuable resource for researchers, medical professionals, and students in the field.

This book offers the most recent findings on employing nano/microrobots in biophysics for cancer treatment. Insightful analysis and commentary from the authors complement a comprehensive survey of recent advances and ground-breaking research in the field.

ARTIFICIAL INTELLIGENCE FOR BONE DISORDER The authors have produced an invaluable resource that connects the fields of AI and bone treatment by providing essential insights into the current state and future of AI in bone condition diagnosis and therapy, as well as a methodical examination of machine learning algorithms, deep learning approaches, and their real-world uses. The book explores the use of artificial intelligence (AI) in the diagnosis and treatment of various bone illnesses. The integration of AI approaches in the fields of orthopedics, radiography, tissue engineering, and other areas related to bone are discussed in detail. It covers tissue engineering methods for bone regeneration and investigates the use of AI tools in this area, emphasizing the value of deep learning and how to use AI in tissue engineering efficiently. The book also covers diagnostic and prognostic uses of AI in orthopedics, such as the diagnosis of disorders involving the hip and knee as well as prognoses for therapies. Chapters also look at MRI, trabecular biomechanical strength, and other methods for diagnosing osteoporosis. Other issues the book examines include several uses of AI in pediatric orthopedics, 3D modeling, digital X-ray radiogrammetry, convolutional neural networks for customized care, and digital tomography. With information on the most recent developments and potential future applications, each chapter of the book advances our understanding of how AI might be used to diagnose and treat bone problems. Audience This book will serve as a guide for orthopedic experts, biomedical engineers, faculty members, research scholars, IT specialists, healthcare workers, and hospital administrators.

This book provides a multidisciplinary overview of the design and implementation of systems for remote patient monitoring and healthcare. Readers are guided through the components of such a system and shown how they could be integrated into a coherent framework for deployment in practice. The book ends with a discussion of case studies to provide practical examples and design methods for remote healthcare systems with different needs. This book contains information that will be helpful to undergraduate and postgraduate students, academic and professional researchers, and individuals who employ computational intelligence.By presenting new models of care and support, AI in medicine is having an impact on the entire value chain of clinical practice and the patient care delivery system. This is especially evident in telemedicine breakthroughs, where applications of AI are utilized to assist, complement, or create new forms of remote healthcare. Through the use of communications technology, telemedicine enables medical professionals to examine, diagnose, and treat patients remotely. Now, the technology might also integrate online diagnostics, etc., to increase the effectiveness of the healthcare system and enhance patient outcomes. By enabling elderly people to live independently, technological advancements in fields like remote patient monitoring (RPM) systems can revolutionize senior care. Medical diagnosis will improve, and remote patient monitoring will become simpler thanks to artificial intelligence. The resistance of many patients and doctors to using the telemedicine idea for medical visits will probably be overcome by AI automation.