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Books in Biotechnology

Exploring genetic engineering, cell culture, and bioprocessing, this collection supports researchers and industry professionals developing new therapies, diagnostics, and sustainable bio products. It features innovative techniques, case studies, and regulatory considerations, enabling advancements in healthcare, agriculture, and environmental solutions within a rapidly evolving biotech landscape.

  • Deep Learning Approaches for Healthcare Data Analysis and Decision Making

    • 1st Edition
    • Ashish Bagwari + 5 more
    • English
    Deep Learning Approaches for Healthcare Data Analysis and Decision Making demystifies complex data-driven technologies, providing a clear framework for integrating advanced analytics into healthcare practices. With a focus on practical applications, the authors present a comprehensive digital transformation methodology that empowers readers to tackle the multifaceted challenges of healthcare data management. By leveraging deep learning techniques, readers will learn to analyze vast datasets, identify critical patterns, and develop predictive models that enhance diagnosis and treatment strategies while ensuring compliance with stringent data regulations. The book also addresses the pressing need for ethical AI practices, emphasizing patient privacy and data security. Real-world case studies illustrate how to implement personalized healthcare solutions and foster interdisciplinary collaboration, breaking down silos in knowledge and practice. Moreover, it explores innovative business models for sustainable AI integration, offering actionable insights for healthcare providers. This resource equips professionals with the tools to drive innovation, improve patient outcomes, and navigate the complexities of digital transformation in healthcare, making it a must-read for anyone at the intersection of technology and healthcare.

  • Advances in Applied Mechanics

    • 1st Edition
    • Volume 67
    • English

  • Modern Bioinformatics

    From Molecular Insights to Biomedical Innovation
    • 1st Edition
    • Kolla Bhanu Prakash + 2 more
    • English
    Modern Bioinformatics from Molecular Insights to Biomedical Innovation explores the rapidly advancing field of bioinformatics, addressing a critical gap in current literature by integrating quantum biology and quantum biosensors with computational bioinformatics. As quantum computing and nanotechnology revolutionize biomedical research, this book emerges as an essential resource for researchers navigating these interdisciplinary domains. It caters to the growing need for comprehensive material that bridges molecular biology, computational methods, and cutting-edge innovations, empowering scientists to harness the full potential of bioinformatics in understanding complex biological systems and developing novel diagnostic and therapeutic strategies. Organized into eight thematic sections, the book offers a thorough exploration of bioinformatics from foundational concepts to translational applications. It begins with molecular structures of proteins, DNA, and RNA, advancing through nano-molecular visualization and structural domain analysis. Readers gain insights into deep learning techniques like AlphaFold for protein structure prediction, AI applications in genomics, and molecular interactions critical to function. The text further covers computational methods in drug discovery, forensic bioinformatics, and molecular evolution. A unique emphasis is placed on the convergence of nanotechnology and quantum innovations in molecular diagnostics and biosensing, including quantum biosensors and quantum computing applications. The final sections focus on computational strategies for drug target identification, biomarker discovery, and clinical trial analysis, providing a holistic view of modern bioinformatics workflows. This book is an indispensable reference for advanced researchers, graduate students, and professionals in bioinformatics, molecular biology, and biomedical engineering seeking to integrate quantum computing and nanotechnology into their work.

  • Nano Meets Micro

    Revolutionizing Medicine through Microfluidic Devices
    • 1st Edition
    • Fatemeh Hataminia + 1 more
    • English
    Nano Meets Micro: Revolutionizing Medicine through Microfluidic Devices explores the transformative potential of integrating nanotechnology with microfluidics to revolutionize medical diagnostics, treatment, and personalized medicine. This comprehensive volume provides a detailed examination of how these cutting-edge technologies are making healthcare more precise, efficient, and personalized. The book begins by defining nanomedicine and microfluidics, highlighting their importance in healthcare and exploring their intersection to provide advanced healthcare solutions. It covers traditional and emerging fabrication techniques for microfluidic devices, the design and synthesis of nanoparticles, and the integration of nanomedicine into microfluidic systems. Practical examples and case studies illustrate how these technologies are used in drug delivery, disease diagnosis, and rapid diagnostics. With a strong focus on future implications, the book discusses emerging trends and potential advances in microfluidics and nanotechnology, including the integration of artificial intelligence and data analytics. It addresses the challenges and future directions in the commercialization of nanomedicine and microfluidic devices, providing a roadmap for translating laboratory innovations into clinical applications. This book is an essential resource for biomedical researchers, professionals in microfluidics and nanotechnology applications in healthcare, and graduate students seeking to gain a deeper understanding of the intersection of these fields. It also serves as a valuable reference for pharmaceutical companies, laboratory equipment manufacturers, healthcare startups, and healthcare professionals interested in the latest advancements in medical technology.

  • Advances in Applied Microbiology

    • 1st Edition
    • Volume 137
    • English
    Advances in Applied Microbiology presents the latest developments and innovative research in applied microbiology, covering topics such as microbial biotechnology, environmental applications, industrial processes, and medical advancements. It offers valuable insights into the practical uses of microorganisms in solving real-world challenges, making it an essential resource for researchers, professionals, and students in microbiology and related fields.

  • Biopolymers for 3D Tissue Engineering

    Processing and Applications
    • 1st Edition
    • Narendra Reddy + 1 more
    • English
    Biopolymers for 3D Tissue Engineering: Processing and Applications explores the critical role of biopolymers in advancing tissue engineering and 3D cell culture—key technologies in drug discovery, personalized medicine, and disease treatment. Scaffolds form the foundation of these applications, yet current options—primarily synthetic polymers like polypropylene, polyethylene, or polystyrene, and some natural materials such as collagen and silk fibroin—are often expensive and lack optimal properties such as biocompatibility, biodegradability, and mechanical stability. This book addresses the global effort to develop next-generation scaffolds that overcome these limitations. Biopolymers offer a compelling solution, with inherent biodegradability, biocompatibility, and sustainability. They are abundant, cost-effective, and derived from renewable sources, making them ideal for medical applications. However, their processing poses significant challenges, as many biopolymers resist dissolution in common solvents and lack thermoplastic behavior. This book provides a comprehensive overview of the structure, properties, and processability of biopolymers, with a focus on innovative techniques for converting them into functional scaffolds suitable for 3D cell culture. Unlike existing literature that emphasizes biomaterial properties or applications, this is the first book to focus exclusively on biopolymers for tissue engineering. It covers carbohydrates, proteins, and synthetic biopolymers in a single, authoritative source, making it invaluable for students, researchers, professionals, and industry stakeholders. By bridging the gap between material science and biomedical application, Biopolymers for 3D Tissue Engineering offers both a scientific foundation and practical insights to accelerate the development of sustainable, high-performance scaffolds for next-generation healthcare solutions.

  • Integrating AI in Psychological and Mental Health Care

    Techniques, Applications, and Ethical Considerations
    • 1st Edition
    • Sandeep Kautish + 4 more
    • English
    Integrating AI in Psychological and Mental Health Care: Techniques, Applications, and Ethical Considerations introduces key concepts and the historical evolution of AI, providing a foundation for understanding its applications in mental health. The content delves into various aspects of AI, including diagnostic tools, machine learning algorithms, and natural language processing, highlighting their roles in enhancing therapeutic outcomes and improving patient care. The discussion encompasses significant mental health conditions such as anxiety, depression, and severe psychological disorders, showcasing how AI technologies can assist in diagnosis, treatment planning, and monitoring. Ethical considerations and privacy issues are critically examined, ensuring a balanced perspective on the benefits and challenges associated with AI-driven interventions. Practical applications, such as virtual psychotherapists and AI-enhanced cognitive behavioral therapy illustrate real-world implementations and their impact on patient care. Additionally, case studies provide insights into successful AI applications in mental health settings, thus enhancing our understanding of potential advantages and obstacles.

  • Advances in Medical Imaging

    From Behavioral Analysis to Disease Prevention and Rehabilitation
    • 1st Edition
    • Dilber Uzun Ozsahin + 4 more
    • English
    Advances in Medical Imaging: From Behavioral Analysis to Disease Prevention and Rehabilitation presents a comprehensive exploration of the rapidly evolving field of medical imaging at the crossroads of clinical science, behavioral research, and public health. This book addresses the growing need to understand how advanced imaging technologies—such as MRI, PET, and ultrasound—are transforming healthcare beyond traditional diagnosis. By capturing structural, functional, metabolic, and molecular processes, these innovations provide new insights into brain function, lifestyle impacts, chronic disease, and rehabilitation, supporting the shift toward personalized and preventive medicine.The book is organized into five thematic sections covering a wide range of topics. Early chapters focus on the integration of neuroimaging with behavioral science, highlighting brain–behavior relationships through cutting-edge imaging modalities and cognitive software. Subsequent sections examine the effects of sedentary lifestyles on brain health, vascular function assessed by ultrasound, and musculoskeletal aging through imaging biomarkers. Additional chapters explore chronic disease management, yoga and cognitive well-being, stroke recovery, traumatic brain injury rehabilitation, and the expanding role of imaging in oncology and systemic diseases. Throughout, the book emphasizes the use of artificial intelligence, radiomics, and multimodal imaging to enhance precision medicine and population health research.Advances in Medical Imaging: From Behavioral Analysis to Disease Prevention and Rehabilitation offers valuable insights for researchers, clinicians, and healthcare professionals interested in the applications of medical imaging across multiple disciplines. It highlights imaging’s critical role in advancing personalized care, supporting preventive strategies, and fostering innovation in modern healthcare.

  • Humanizing Artificial Touch

    Skin, Sensing, and Structures
    • 1st Edition
    • John-John Cabibihan
    • English
    Humanizing Artificial Touch: Skin, Sensing, and Structures contains recent advances in artificial skin modelling and robotic tactile sensing technologies, integrating these in the structure of an artificial hand mimicking its important features. This book will give special treatment to the relationship between the artificial skin material and embedded tactile sensors, describing how artificial skin and embedded sensors can be designed and constructed using 3D printing technologies with case examples on how these were created for amputees achieve a more a natural and rich human-robot tactile interaction.This book is oriented towards students, researchers, and clinical practitioners who are working in the design and construction of artificial hands for prosthetics and social robotics.

  • Self-Learning AI in Healthcare

    Agentic Systems for Smarter Medicine
    • 1st Edition
    • Rajesh Kumar Dhanaraj + 4 more
    • English
    Self-Learning AI in Healthcare: Agentic Systems for Smarter Medicine introduces an essential and timely exploration into the transformative potential of advanced artificial intelligence within modern medicine. As healthcare faces mounting challenges—from managing vast, complex patient data to improving diagnostic precision and personalizing treatments—tradition... AI models often fall short due to their static nature and dependence on human retraining. This book addresses the critical need for self-learning and agentic AI systems that autonomously adapt, refine decision-making, and navigate complex clinical environments with minimal intervention. By bridging cutting-edge AI research with practical healthcare applications, it opens new pathways toward more intelligent, efficient, and responsive patient care. The book’s comprehensive contents, contributed by leading global experts, span a wide range of pivotal topics. It begins with foundational insights into the rise of self-learning AI and neural networks tailored for adaptive medical systems. Subsequent chapters delve into unsupervised, semi-supervised, and reinforcement learning for autonomous healthcare decision-making, alongside decentralized edge AI approaches. Specialized sections cover personalized medicine, hospital workflow optimization, remote patient monitoring, early disease detection, federated learning for privacy preservation, and AI-driven rehabilitation. Further, this book explores AI applications in drug discovery, mental health support, radiology, digital twins, and medical robotics, culminating with an examination of future challenges, ethics, and regulatory frameworks shaping self-learning AI’s trajectory in healthcare. This book is tailored to serve a diverse yet specialized audience spanning academic, professional, and research sectors. Healthcare IT professionals and clinical informatics specialists will gain practical guidance for implementing adaptive AI solutions within complex healthcare environments. AI researchers and data scientists focused on developing self-learning models will find cutting-edge methodologies and case studies that advance medical applications. Biomedical engineers seeking to integrate autonomous AI systems into medical devices and workflows will benefit from in-depth explorations of real-world innovations. Additionally, graduate and doctoral students in computer science, biomedical informatics, and health data science will acquire comprehensive knowledge essential for mastering the complexities of adaptive AI in healthcare.

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