Sathvik Belagodu Sridhar – författare

This book explores the advanced integration of nanotechnology and biomedicine, providing an in-depth analysis of the transformative impact of carbon nanotubes (CNTs) on healthcare. It provides a comprehensive coverage of the distinctive characteristics of CNTs, including their remarkable mechanical strength, electrical conductivity, and large surface area, which make them very suitable for numerous biomedical uses. The book provides an overview of the process of synthesizing and functionalizing CNTs. It then delves into the specific applications of CNTs in drug delivery systems to improve the effectiveness and targeting of therapeutic agents. Additionally, the book explores the use of CNTs in imaging and diagnostics, enhancing techniques such as MRI and fluorescence imaging. The book also discusses the involvement of CNTs in tissue engineering, namely in the fabrication of scaffolds that facilitate cell growth and tissue regeneration. It explores the application of CNTs in biosensors, where their high sensitivity enables early and accurate identification of diseases. Antibacterial characteristics of CNTs are reviewed in order to hinder infections in medical devices and implants. The potential of CNTs in gene therapy to enhance genetic treatments is also explored in the book. It addresses the concerns related to the toxicity, biocompatibility, and regulatory issues of CNTs. It carefully balances the promising potential of CNTs with the practical implications of their usage in the field of biomedicine. This book is indispensable for researchers, doctors, and individuals with an interest in the cutting-edge utilisation of nanotechnology in the field of medicine.

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 presents a focused and timely exploration of genome editing and its transformative impact on modern medicine. Integrating interdisciplinary perspectives, the volume examines how emerging genetic technologies are reshaping the prevention, diagnosis, and treatment of complex diseases.The book outlines the molecular foundations of key genome-editing tools, including CRISPRCas9, TALENs, and zinc-finger nucleases, explaining their mechanisms and expanding role in biomedical research. It then moves to practical applications, highlighting case studies in areas such as cancer treatment and precision medicine, demonstrating how gene-editing technologies are improving patient outcomes.Beyond technical advances, the volume addresses critical ethical, legal, and regulatory considerations, including biosafety, intellectual property, and human rights. By examining both opportunities and challenges, it emphasizes the need for responsible and well-regulated implementation of genetic technologies.Bringing together current research and applied insights, this volume offers a clear and balanced perspective on the evolving role of genome editing in advancing healthcare worldwide.

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.

Sophisticated technologies play a growing part in materials science. Artificial Intelligence in Polymer Science offers a comprehensive examination of the impact of artificial intelligence on polymer research and nanotechnology, encompassing AI-facilitated polymer synthesis and characterisation, as well as novel applications in drug delivery systems, nanomaterial design, and polymer informatics. This book provides insightful information on both present developments and potential future directions, with each chapter addressing subjects including AI-powered polymer sequence design, autonomous labs, and machine learning in material simulations. Professionals in the field will gain from pragmatic illustrations and innovative methodologies, rendering it a vital resource for researchers, engineers, and advanced scholars. This thorough understanding will transform the way AI integrates polymers and nanotechnology, spurring innovation and improving material properties—all of which will have a major impact on applications in the fields of healthcare, business, and the environment.