Suraj Kumar – författare

This book assesses the roadmap for the implementation of the SDGs in South Asia, focusing in particular on the areas of poverty reduction, inequality, health/well-being and water and sanitation. South Asia is amongst the fastest growing regions in the world, with an aggregate GDP in excess of two trillion US dollars, but at the same time it has significant deficits in human development, with 37 per cent of the world's poor and nearly half of the world's malnourished children. For South Asia, the United Nations' Sustainable Development Goals (SDGs) represent a constructive opportunity to end many of the region's deprivations in a time-bound and systematic manner. Starting with the legacy of the Millennium Development Goals, the book goes on to provide a country-by-country overview of strategies for addressing the problems of poverty, health, water and sanitation. South-South Cooperation and in particular the South Asian Association for Regional Cooperation (SAARC) are discussed and, finally, the editors present a summary of policy priorities for social development. This book aims to be a useful resource for researchers, policy influencers, planners, implementers, students, and activists aiming to push to achieve the SDGs.

Computational Intelligence for Patient Care: Blockchain, AI, and ML in Healthcare explores the revolutionizing applications of blockchain, artificial intelligence, and machine learning in healthcare systems. The book attempts to close the gap between cutting-edge computational approaches and real-world healthcare applications by discussing the latest innovations in the field.The book is divided into ten chapters, each of which focuses on a crucial area of healthcare-related computational intelligence. The book first provides an overview of blockchain technology and its uses in the healthcare industry, highlighting its potential for clinical research, medical fraud detection, and electronic health records (EHRs). It further explores the use of blockchain technology in the creation of digital healthcare systems, emphasizing the benefits of combining big data with blockchain technology while also going over institutional considerations and security issues.The book goes on to discusses the use of AI in healthcare, covering topics such as the development of telemedicine, AI-assisted remote monitoring, and smart health monitoring systems. Additionally, the book explores AI's inclusive approach to disease management, management of chronic illnesses, accuracy of diagnoses, and personalized therapy. It also covers the development of AI and ML in CNS drug discovery, emphasizing novel uses of these technologies in the development of pharmaceuticals for neurological disorders. It also discusses the problems and duties of regulators in regulating the integration of AI in healthcare, providing insights into future regulatory policies.The book will be an invaluable resource for those looking to use technology to improve patient care and healthcare outcomes, showing computational intelligence's transformative potential in this field.

Computational Intelligence for Patient Care: Blockchain, AI, and ML in Healthcare explores the revolutionizing applications of blockchain, artificial intelligence, and machine learning in healthcare systems. The book attempts to close the gap between cutting-edge computational approaches and real-world healthcare applications by discussing the latest innovations in the field.The book is divided into ten chapters, each of which focuses on a crucial area of healthcare-related computational intelligence. The book first provides an overview of blockchain technology and its uses in the healthcare industry, highlighting its potential for clinical research, medical fraud detection, and electronic health records (EHRs). It further explores the use of blockchain technology in the creation of digital healthcare systems, emphasizing the benefits of combining big data with blockchain technology while also going over institutional considerations and security issues.The book goes on to discusses the use of AI in healthcare, covering topics such as the development of telemedicine, AI-assisted remote monitoring, and smart health monitoring systems. Additionally, the book explores AI's inclusive approach to disease management, management of chronic illnesses, accuracy of diagnoses, and personalized therapy. It also covers the development of AI and ML in CNS drug discovery, emphasizing novel uses of these technologies in the development of pharmaceuticals for neurological disorders. It also discusses the problems and duties of regulators in regulating the integration of AI in healthcare, providing insights into future regulatory policies.The book will be an invaluable resource for those looking to use technology to improve patient care and healthcare outcomes, showing computational intelligence's transformative potential in this field.

This book assesses the roadmap for the implementation of the SDGs in South Asia, focusing in particular on the areas of poverty reduction, inequality, health/well-being and water and sanitation. South Asia is amongst the fastest growing regions in the world, with an aggregate GDP in excess of two trillion US dollars, but at the same time it has significant deficits in human development, with 37 per cent of the world's poor and nearly half of the world's malnourished children. For South Asia, the United Nations' Sustainable Development Goals (SDGs) represent a constructive opportunity to end many of the region's deprivations in a time-bound and systematic manner. Starting with the legacy of the Millennium Development Goals, the book goes on to provide a country-by-country overview of strategies for addressing the problems of poverty, health, water and sanitation. South-South Cooperation and in particular the South Asian Association for Regional Cooperation (SAARC) are discussed and, finally, the editors present a summary of policy priorities for social development. This book aims to be a useful resource for researchers, policy influencers, planners, implementers, students, and activists aiming to push to achieve the SDGs.

This book assesses the roadmap for the implementation of the SDGs in South Asia, focusing in particular on the areas of poverty reduction, inequality, health/well-being and water and sanitation. South Asia is amongst the fastest growing regions in the world, with an aggregate GDP in excess of two trillion US dollars, but at the same time it has significant deficits in human development, with 37 per cent of the world's poor and nearly half of the world's malnourished children. For South Asia, the United Nations' Sustainable Development Goals (SDGs) represent a constructive opportunity to end many of the region's deprivations in a time-bound and systematic manner. Starting with the legacy of the Millennium Development Goals, the book goes on to provide a country-by-country overview of strategies for addressing the problems of poverty, health, water and sanitation. South-South Cooperation and in particular the South Asian Association for Regional Cooperation (SAARC) are discussed and, finally, the editors present a summary of policy priorities for social development. This book aims to be a useful resource for researchers, policy influencers, planners, implementers, students, and activists aiming to push to achieve the SDGs.

This book assesses the roadmap for the implementation of the SDGs in South Asia, focusing in particular on the areas of poverty reduction, inequality, health/well-being and water and sanitation. South Asia is amongst the fastest growing regions in the world, with an aggregate GDP in excess of two trillion US dollars, but at the same time it has significant deficits in human development, with 37 per cent of the world's poor and nearly half of the world's malnourished children. For South Asia, the United Nations' Sustainable Development Goals (SDGs) represent a constructive opportunity to end many of the region's deprivations in a time-bound and systematic manner. Starting with the legacy of the Millennium Development Goals, the book goes on to provide a country-by-country overview of strategies for addressing the problems of poverty, health, water and sanitation. South-South Cooperation and in particular the South Asian Association for Regional Cooperation (SAARC) are discussed and, finally, the editors present a summary of policy priorities for social development. This book aims to be a useful resource for researchers, policy influencers, planners, implementers, students, and activists aiming to push to achieve the SDGs.

The book gives invaluable insights into how artificial intelligence is revolutionizing the management and treatment of neurological disorders, empowering you to stay ahead in the rapidly evolving landscape of healthcare. Embark on a groundbreaking exploration of the intersection between cutting-edge technology and the intricate complexities of neurological disorders. Artificial Intelligence in Neurological Disorders: Management, Diagnosis and Treatment comprehensively introduces how artificial intelligence is becoming a vital ally in neurology, offering unprecedented advancements in management, diagnosis, and treatment. As the digital age converges with medical expertise, this book unveils a comprehensive roadmap for leveraging artificial intelligence to revolutionize neurological healthcare. Delve into the core principles that underpin AI applications in the field by exploring intricate algorithms that enhance the precision of diagnosis and how machine learning not only refines the understanding of neurological disorders but also paves the way for personalized treatment strategies tailored to individual patient needs. With compelling case studies and real-world examples, the realms of neuroscience and artificial intelligence converge, illustrating the symbiotic relationship that holds the promise of transforming patient care. Readers of this book will find it: Provides future perspectives on advancing artificial intelligence applications in neurological disorders;Focuses on the role of AI in diagnostics, delving into how advanced algorithms and machine learning techniques contribute to more accurate and timely diagnosis of neurological disorders;Emphasizes practical integration of AI tools into clinical practice, offering insights into how healthcare professionals can leverage AI technology for more effective patient care;Recognizes the interdisciplinary nature of neurology and AI, bridging the gap between these fields, making it accessible to healthcare professionals, researchers, and technologists;Addresses the ethical implications of AI in healthcare, exploring issues such as data privacy, bias, and the responsible deployment of AI technologies in the neurological domain.Audience Researchers, scientists, industrialists, faculty members, healthcare professionals, hospital management, biomedical industrialists, engineers, and IT professionals interested in studying the intersection of AI and neurology.

The book gives invaluable insights into how artificial intelligence is revolutionizing the management and treatment of neurological disorders, empowering you to stay ahead in the rapidly evolving landscape of healthcare.

Embark on a groundbreaking exploration of the intersection between cutting-edge technology and the intricate complexities of neurological disorders. Artificial Intelligence in Neurological Disorders: Management, Diagnosis and Treatment comprehensively introduces how artificial intelligence is becoming a vital ally in neurology, offering unprecedented advancements in management, diagnosis, and treatment. As the digital age converges with medical expertise, this book unveils a comprehensive roadmap for leveraging artificial intelligence to revolutionize neurological healthcare. Delve into the core principles that underpin AI applications in the field by exploring intricate algorithms that enhance the precision of diagnosis and how machine learning not only refines the understanding of neurological disorders but also paves the way for personalized treatment strategies tailored to individual patient needs. With compelling case studies and real-world examples, the realms of neuroscience and artificial intelligence converge, illustrating the symbiotic relationship that holds the promise of transforming patient care.

Readers of this book will find it:

Provides future perspectives on advancing artificial intelligence applications in neurological disorders;Focuses on the role of AI in diagnostics, delving into how advanced algorithms and machine learning techniques contribute to more accurate and timely diagnosis of neurological disorders;Emphasizes practical integration of AI tools into clinical practice, offering insights into how healthcare professionals can leverage AI technology for more effective patient care;Recognizes the interdisciplinary nature of neurology and AI, bridging the gap between these fields, making it accessible to healthcare professionals, researchers, and technologists;Addresses the ethical implications of AI in healthcare, exploring issues such as data privacy, bias, and the responsible deployment of AI technologies in the neurological domain.

Audience

Researchers, scientists, industrialists, faculty members, healthcare professionals, hospital management, biomedical industrialists, engineers, and IT professionals interested in studying the intersection of AI and neurology.

The book gives invaluable insights into how artificial intelligence is revolutionizing the management and treatment of neurological disorders, empowering you to stay ahead in the rapidly evolving landscape of healthcare.

Embark on a groundbreaking exploration of the intersection between cutting-edge technology and the intricate complexities of neurological disorders. Artificial Intelligence in Neurological Disorders: Management, Diagnosis and Treatment comprehensively introduces how artificial intelligence is becoming a vital ally in neurology, offering unprecedented advancements in management, diagnosis, and treatment. As the digital age converges with medical expertise, this book unveils a comprehensive roadmap for leveraging artificial intelligence to revolutionize neurological healthcare. Delve into the core principles that underpin AI applications in the field by exploring intricate algorithms that enhance the precision of diagnosis and how machine learning not only refines the understanding of neurological disorders but also paves the way for personalized treatment strategies tailored to individual patient needs. With compelling case studies and real-world examples, the realms of neuroscience and artificial intelligence converge, illustrating the symbiotic relationship that holds the promise of transforming patient care.

Readers of this book will find it:

Provides future perspectives on advancing artificial intelligence applications in neurological disorders;Focuses on the role of AI in diagnostics, delving into how advanced algorithms and machine learning techniques contribute to more accurate and timely diagnosis of neurological disorders;Emphasizes practical integration of AI tools into clinical practice, offering insights into how healthcare professionals can leverage AI technology for more effective patient care;Recognizes the interdisciplinary nature of neurology and AI, bridging the gap between these fields, making it accessible to healthcare professionals, researchers, and technologists;Addresses the ethical implications of AI in healthcare, exploring issues such as data privacy, bias, and the responsible deployment of AI technologies in the neurological domain.

Audience

Researchers, scientists, industrialists, faculty members, healthcare professionals, hospital management, biomedical industrialists, engineers, and IT professionals interested in studying the intersection of AI and neurology.

Computational Intelligence for Patient Care: Blockchain, AI, and ML in Healthcare explores the revolutionizing applications of blockchain, artificial intelligence, and machine learning in healthcare systems. The book attempts to close the gap between cutting-edge computational approaches and real-world healthcare applications by discussing the latest innovations in the field.The book is divided into ten chapters, each of which focuses on a crucial area of healthcare-related computational intelligence. The book first provides an overview of blockchain technology and its uses in the healthcare industry, highlighting its potential for clinical research, medical fraud detection, and electronic health records (EHRs). It further explores the use of blockchain technology in the creation of digital healthcare systems, emphasizing the benefits of combining big data with blockchain technology while also going over institutional considerations and security issues.The book goes on to discusses the use of AI in healthcare, covering topics such as the development of telemedicine, AI-assisted remote monitoring, and smart health monitoring systems. Additionally, the book explores AI’s inclusive approach to disease management, management of chronic illnesses, accuracy of diagnoses, and personalized therapy. It also covers the development of AI and ML in CNS drug discovery, emphasizing novel uses of these technologies in the development of pharmaceuticals for neurological disorders. It also discusses the problems and duties of regulators in regulating the integration of AI in healthcare, providing insights into future regulatory policies.The book will be an invaluable resource for those looking to use technology to improve patient care and healthcare outcomes, showing computational intelligence’s transformative potential in this field.

Stress on natural resources has recently increased due to commercialization and the need to provide livelihoods for locals. Because they are such core parts of everyday life, ensuring sustainability in resource management is of paramount importance. Only by integrating the tools of spatial information science can an effective course for preserving and protecting natural resources be created. Spatial Information Science for Natural Resource Management is a pivotal reference source that explores coordinated approaches to sustainable development and management of natural resources to keep a balance of the environment, ecology, and human livelihood. Featuring coverage on a wide range of topics including crop yield estimation, ecosystem services, and land information systems, this book covers interdisciplinary techniques in monitoring and managing natural resources. This publication is ideally designed for urban planners, environmentalists, policymakers, ecologists, researchers, academicians, students, and professionals in the fields of remote sensing, civil engineering, social science, computer science, and information technology.

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.