Saurabh Srivastava – författare

Multifunctional Nanocarriers provides information on the concept, theory and application of multifunctional nanocarriers. The book covers current research, beginning with product strategy, targeted drug delivery, and advanced drug delivery approaches, along with numerous multifunctional nanocarriers and their regulatory considerations for product development. The book covers targeting, receptor mediated targeting, and recent advancements using multifunctional nanocarriers and their regulatory aspects. This is an important reference source for materials scientists and engineers who want to learn more about how multifunctional nanocarriers are applied in a range of biomedical applications. Explains the fundamentals, concepts, theory and application of multifunctional nanocarriers, with advanced content and applications for a range of biomedical applications Covers production and manufacturing processes for multifunctional nanocarriers for biomedical applications Assesses major challenges in applying multifunctional nanocarriers on an industrial scale

Multifunctional Nanocarriers provides information on the concept, theory and application of multifunctional nanocarriers. The book covers current research, beginning with product strategy, targeted drug delivery, and advanced drug delivery approaches, along with numerous multifunctional nanocarriers and their regulatory considerations for product development. The book covers targeting, receptor mediated targeting, and recent advancements using multifunctional nanocarriers and their regulatory aspects. This is an important reference source for materials scientists and engineers who want to learn more about how multifunctional nanocarriers are applied in a range of biomedical applications.- Explains the fundamentals, concepts, theory and application of multifunctional nanocarriers, with advanced content and applications for a range of biomedical applications- Covers production and manufacturing processes for multifunctional nanocarriers for biomedical applications- Assesses major challenges in applying multifunctional nanocarriers on an industrial scale

Concepts of Combating Chemoresistance in Cancer Therapeutics explores the fundamental issues and challenges related to cancer chemotherapeutics, emphasizing mechanisms and factors that lead to chemoresistance in various cancer types. This book provides current updates on novel paradigms and mechanisms responsible for cancer chemoresistance, presenting comprehensive information in 15 chapters. In addition to introducing principles, mechanisms, and monitoring strategies for cancer drug resistance, the book highlights the role of nanotechnology in diagnostics and point-of-care solutions for early detection, screening, and control. It is an invaluable resource for health professionals, scientists, researchers, and students seeking knowledge in this field.Covers current updates in the novel paradigms and mechanisms responsible for the cancer chemo-resistanceElucidates on the molecular mechanisms in diverse types of cancersProvides multi-model solutions for combating the multi-drug resistanceGives insights on newer advancements and concepts to improve the accumulation of nanotherapeutics in tumor microenvironment

Concepts of Combating Chemoresistance in Cancer Therapeutics explores the fundamental issues and challenges related to cancer chemotherapeutics, emphasizing mechanisms and factors that lead to chemoresistance in various cancer types. This book provides current updates on novel paradigms and mechanisms responsible for cancer chemoresistance, presenting comprehensive information in 15 chapters. In addition to introducing principles, mechanisms, and monitoring strategies for cancer drug resistance, the book highlights the role of nanotechnology in diagnostics and point-of-care solutions for early detection, screening, and control. It is an invaluable resource for health professionals, scientists, researchers, and students seeking knowledge in this field. - Covers current updates in the novel paradigms and mechanisms responsible for the cancer chemo-resistance- Elucidates on the molecular mechanisms in diverse types of cancers- Provides multi-model solutions for combating the multi-drug resistance- Gives insights on newer advancements and concepts to improve the accumulation of nanotherapeutics in tumor microenvironment

Artificial intelligence (AI) plays a pivotal role in advancing environmental stewardship by enabling innovative solutions to address pressing ecological challenges. Through its ability to process vast amounts of data, AI empowers researchers and policymakers to monitor environmental changes, predict future trends, and develop strategies for sustainable resource management. By integrating AI into environmental efforts, societies can transition toward more sustainable practices, ensuring the preservation of natural ecosystems for future generations. Its transformative potential underscores the importance of leveraging AI as a critical tool in fostering global environmental resilience and sustainability.AI for Environmental Innovation and Stewardship examines this transformative potential by covering fundamental concepts, innovative methodologies, and realworld applications of AI in environmental contexts. It highlights the role of machine learning, data analytics, generative AI, supply chains, augmented reality, and virtual reality in providing new insights and solutions for managing complex ecological systems. It explains how AI is advancing environmental monitoring, enhancing predictive capabilities, optimizing resource usage, and supporting evidence-based decision-making. Highlights include the following:Legal perspectives and challenges of using AI in environmental justiceEnhancing agricultural supply chains through AI and blockchain integrationAI innovations in augmented reality and virtual reality for environmental educationAI to promote responsible consumption and waste managementWith its wide- ranging and holistic view of AI in environmental stewardship, the book is a resource for researchers, students, policymakers, and industry professionals, who seek to promote innovation and collaboration at the intersection of AI and the environment.

Artificial intelligence (AI) plays a pivotal role in advancing environmental stewardship by enabling innovative solutions to address pressing ecological challenges. Through its ability to process vast amounts of data, AI empowers researchers and policymakers to monitor environmental changes, predict future trends, and develop strategies for sustainable resource management. By integrating AI into environmental efforts, societies can transition toward more sustainable practices, ensuring the preservation of natural ecosystems for future generations. Its transformative potential underscores the importance of leveraging AI as a critical tool in fostering global environmental resilience and sustainability.AI for Environmental Innovation and Stewardship examines this transformative potential by covering fundamental concepts, innovative methodologies, and realworld applications of AI in environmental contexts. It highlights the role of machine learning, data analytics, generative AI, supply chains, augmented reality, and virtual reality in providing new insights and solutions for managing complex ecological systems. It explains how AI is advancing environmental monitoring, enhancing predictive capabilities, optimizing resource usage, and supporting evidence-based decision-making. Highlights include the following: Legal perspectives and challenges of using AI in environmental justice Enhancing agricultural supply chains through AI and blockchain integration AI innovations in augmented reality and virtual reality for environmental education AI to promote responsible consumption and waste management With its wide- ranging and holistic view of AI in environmental stewardship, the book is a resource for researchers, students, policymakers, and industry professionals, who seek to promote innovation and collaboration at the intersection of AI and the environment.

Artificial intelligence (AI) plays a pivotal role in advancing environmental stewardship by enabling innovative solutions to address pressing ecological challenges. Through its ability to process vast amounts of data, AI empowers researchers and policymakers to monitor environmental changes, predict future trends, and develop strategies for sustainable resource management. By integrating AI into environmental efforts, societies can transition toward more sustainable practices, ensuring the preservation of natural ecosystems for future generations. Its transformative potential underscores the importance of leveraging AI as a critical tool in fostering global environmental resilience and sustainability.AI for Environmental Innovation and Stewardship examines this transformative potential by covering fundamental concepts, innovative methodologies, and realworld applications of AI in environmental contexts. It highlights the role of machine learning, data analytics, generative AI, supply chains, augmented reality, and virtual reality in providing new insights and solutions for managing complex ecological systems. It explains how AI is advancing environmental monitoring, enhancing predictive capabilities, optimizing resource usage, and supporting evidence-based decision-making. Highlights include the following: Legal perspectives and challenges of using AI in environmental justice Enhancing agricultural supply chains through AI and blockchain integration AI innovations in augmented reality and virtual reality for environmental education AI to promote responsible consumption and waste management With its wide- ranging and holistic view of AI in environmental stewardship, the book is a resource for researchers, students, policymakers, and industry professionals, who seek to promote innovation and collaboration at the intersection of AI and the environment.

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.

This book highlights recent advances in the field of Materials and related computational techniques used to explore various type of materials. Since the field of materials is an interdisciplinary field where researchers from all domains of sciences such as Physical Sciences, Chemical Sciences, Biological Sciences, and Mathematical and Computer Sciences work toward the development of novel materials, the book provides a platform for comprehensive discussions and methods to explore materials development and the properties of novel and existing materials. This book also includes the research work in computational techniques developed by mathematical and machine learning models to understand and design various devices and their applications and properties as an integral part of materials science.

This book highlights recent advances in the field of Materials and related computational techniques used to explore various type of materials. Since the field of materials is an interdisciplinary field where researchers from all domains of sciences such as Physical Sciences, Chemical Sciences, Biological Sciences, and Mathematical and Computer Sciences work toward the development of novel materials, the book provides a platform for comprehensive discussions and methods to explore materials development and the properties of novel and existing materials. This book also includes the research work in computational techniques developed by mathematical and machine learning models to understand and design various devices and their applications and properties as an integral part of materials science.