Books in Biotechnology

Photonic Sensors for Detection of VOC Biomarkers

1st Edition
October 1, 2025
Sridhar Krishnaswamy + 2 more
English
Paperback
9 7 8 0 4 4 3 2 9 1 6 6 1
eBook
9 7 8 0 4 4 3 2 9 1 6 7 8

VOCs available in exhaled human breath are the products of metabolic activity in the body and, therefore, any changes in their control level can be utilized to diagnose specific diseases. More than 1000 VOCs have been identified in exhaled human breath along with the respiratory droplets which provide rich information on overall health conditions. This book cover the introductory information on VOCs, their source in the human body, associated diseases, potential sensing materials used for selective detection, and the advancement in their sensing technology. These VOCs offer great potential as a biomarker for a disease that can be sampled non-invasively from exhaled breath with breath biopsy. However, it is still a great challenge to develop a rapid responsive, highly selective, and sensitive VOC-sensing system. This book analyzes all the challenges and their possible solutions that can be used to achieve target-specific detection and real-time monitoring of the VOC molecules in the exhaled breath. It also covers a detailed discussion of all the sensing materials developed for selective and sensitive detection of VOC molecules and their integration with photonic devices in order to develop miniature technology. It covers various miniature sensing systems that are being exploited in VOC sensing such as interferometer, Bragg grating, microstructured fiber, 3D printed optical sensing systems, etc. The book will also provide an overview of the FEM technique and computation methods used to optimize the optical sensing devices before their practical realization. Photonic sensors for detection of VOC biomarkers aims to provide comprehensive information to early career professionals and boost their existing knowledge in the area of Chemistry and Biomedical Engineering.

Feedback Control and Adaptive Learning in Optical-Tweezer Robotics

1st Edition
October 1, 2025
Xiang Li + 2 more
English
Paperback
9 7 8 0 4 4 3 3 1 5 4 8 0
eBook
9 7 8 0 4 4 3 3 1 5 4 9 7

Feedback Control and Adaptive Learning in Optical-Tweezer Robotics is a comprehensive guide to merging robotic feedback control with optical trapping techniques in cell manipulation. It begins by providing foundational knowledge in dynamic modeling and control theory, essential for understanding optical-tweezer robotics' complexities. The book explores optical trapping principles, discussing traditional approaches' constraints and challenges. It then introduces a unified control methodology designed for dynamic adaptation to cell movement and escape scenarios, highlighting the importance of closed-loop control strategies in navigating the interaction between optical forces and robotic manipulation.Additio... the book delves into adaptive learning algorithms for real-time adjustments in unknown trapping stiffness, addressing challenges like limited field of view, stochastic disturbances, and handling multiple cells. It integrates open-access simulations and real-world experiments to reinforce theoretical concepts, offering practical examples. This unified approach's potential impact on biomedicine, biotechnology, and microscale robotics is emphasized, making it an invaluable resource for readers in these fields.

Secondary Metabolites in Stress and Disease Management

1st Edition
October 1, 2025
Amrita Srivastava + 1 more
English
Paperback
9 7 8 0 4 4 3 3 3 9 5 9 2
eBook
9 7 8 0 4 4 3 3 3 9 6 0 8

Secondary Metabolites in Stress and Disease Management: A Natural Alternative details the sources and diversity of microbial and plant secondary metabolites, the methods used for their detection and extraction, their novel applications in disease management, and inclusion in mainstream therapy. Organized into three main sections, the book begins by discussing the potential of microbes, plants, microalgae, and cyanobacteria as valuable sources of secondary metabolites, their role and mechanisms of action in symbiotic and competitive interactions, extractions and purification strategies, and the means to maximize their production. The book goes on to explore the utility of secondary metabolites in mitigating plant stress and their therapeutic impact on human health management. With contributions from experts in the field, Secondary Metabolites in Stress and Disease Management is a useful interdisciplinary resource for researchers, professors, graduate and postgraduate students, and industry professionals studying applied microbiology, biotechnology, biochemistry, pharmacology, and plant science.

Artificial Intelligence and Machine Learning in Healthcare

1st Edition
September 1, 2025
Arman Kilic
English
Paperback
9 7 8 0 1 2 8 2 2 5 1 8 9
eBook
9 7 8 0 1 2 8 2 2 5 1 9 6

Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machine learning can improve healthcare, however there are still many doubts and concerns among health professionals, all of which are addressed in this book. Sections cover History and Basic Overview of AI and ML, with differentiation of supervised, unsupervised and deep learning, Applications of AI and ML in Healthcare, The Future of Healthcare with AI, Challenges to Adopting AI in Healthcare, and ethics and legal processes for implementation.This book is a valuable resource for bioinformaticians, clinicians, graduate students and several members of biomedical field who needs to get up to speed on the revolutionary role of AI and Machine Learning in healthcare.

Machine Learning in MRI

1st Edition
Volume 13
September 1, 2025
Thomas Kuestner + 3 more
English
Paperback
9 7 8 0 4 4 3 1 4 1 0 9 6
eBook
9 7 8 0 4 4 3 1 4 1 0 8 9

Machine Learning in MRI: From Methods to Clinical Translation, Volume Thirteen in theAdvances in Magnetic Resonance Technology and Applications series presents state-of-the-art machine learning methods in magnetic resonance imaging that can shape and impact the future of patient treatment and planning. Common methods and strategies along the processing chain of data acquisition, image reconstruction, image post-processing, and image analysis of these imaging modalities are presented and illustrated. The book focuses on applications and anatomies for which machine learning methods can bring, or have already brought. Ideas and concepts on how processing could be harmonized and used to provide deployable frameworks that integrate into the clinical workflows are also considered.Pitfalls and current limitations are discussed in the context of how they could be overcome to cater for clinical needs, making this an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. By giving an interdisciplinary presentation and discussion on the obstacles and possible solutions for the clinical translation of machine learning methods, this book enables the evolution of machine learning in medical imaging for the next decade.

Robotics and Artificial Intelligence for Reproductive Medicine

1st Edition
September 1, 2025
Guanqiao Shan + 3 more
English
Paperback
9 7 8 0 4 4 3 2 6 7 4 5 1
eBook
9 7 8 0 4 4 3 2 6 7 4 6 8

Robotics and Artificial Intelligence for Reproductive Medicine provides fundamental principles underpinning robotic and AI techniques used for reproductive medicine. The book provides the state-of-the-art technical advances in clinical infertility treatment, along with the outlook on future challenges and opportunities of robotics and AI in reproductive medicine. It covers robotics, AI, computer vision, biomedical engineering, and reproductive medicine.

Applied Mathematical Modeling for Biomedical Robotics and Wearable Devices

1st Edition
September 1, 2025
S. Sountharrajan + 3 more
English
Paperback
9 7 8 0 4 4 3 3 3 5 1 4 3
eBook
9 7 8 0 4 4 3 3 3 5 1 5 0

Applied Mathematical Modelling for Biomedical Robotics and Wearable Devices delves into the innovative convergence of mathematical frameworks and biomedical engineering. The book begins by exploring how advanced mathematical modelling underpins the development and optimization of robotic systems and wearable technologies tailored for medical applications. With a strong emphasis on practical implementation, it serves as a bridge between theoretical concepts and real-world engineering challenges in the healthcare sector. Readers will gain insights into the transformative role of mathematical techniques that drive precision, functionality, and human-centric design in cutting-edge medical technologies.The book also covers interdisciplinary applications, integrating domains like biomechanics, sensor technology, and data analytics. By highlighting case studies and real-world scenarios, it showcases practical advancements in wearable devices that monitor health metrics and robotic systems that assist in surgical procedures.

Advances in Applied Microbiology

1st Edition
Volume 132
September 1, 2025
Geoffrey M. Gadd + 1 more
English
Hardback
9 7 8 0 4 4 3 3 4 5 0 7 4
eBook
9 7 8 0 4 4 3 3 4 5 0 8 1

Advances in Applied Microbiology, Volume 132 presents a comprehensive exploration of the latest innovations in applied microbiology. The book delves into the diverse applications of microbiology across various industries, including agriculture, food production, biotechnology, environmental science, and healthcare. Through a collection of insightful chapters authored by experts in the field, readers are offered in-depth analyses of cutting-edge research, emerging trends, and practical applications of microbiological principles. From novel microbial technologies to the impact of microbiomes on human health and beyond, this book serves as a valuable resource for researchers, professionals, and students seeking to stay informed and inspired by the exciting advancements.

Advances in Applied Microbiology

1st Edition
Volume 131
August 18, 2025
Geoffrey M. Gadd + 1 more
English
Hardback
9 7 8 0 4 4 3 3 4 5 0 5 0
eBook
9 7 8 0 4 4 3 3 4 5 0 6 7

Advances in Applied Microbiology, Volume 131 continues the comprehensive reach of this widely read and authoritative review source in microbiology where users will find invaluable references and information on a variety of areas relating to the topics of microbiology.

Federated Learning in Metaverse Healthcare

1st Edition
August 4, 2025
Shubham Mahajan + 1 more
English
Paperback
9 7 8 0 4 4 3 3 3 7 8 9 5
eBook
9 7 8 0 4 4 3 3 3 7 9 0 1

Federated Learning in Metaverse Healthcare: Personalized Medicine and Wellness explores the integration of the metaverse with healthcare, offering immersive experiences and personalized care. The book introduces federated learning, emphasizing its advantages over traditional centralized machine learning in healthcare. It provides a historical context and discusses the technological advancements that led to the emergence of metaverse healthcare. Privacy-preserving methods crucial for protecting sensitive healthcare data within federated learning environments are also examined, underscoring the importance of secure communication protocols. Other important points include the transformation of healthcare delivery through virtual environments, remote consultations, and immersive experiences.The role of telemedicine in facilitating remote diagnostics and consultations via virtual platforms, and the applications of augmented reality wearables for real-time health monitoring and wellness tracking are detailed. Additionally, the book discusses federated learning's ability to deliver personalized treatment plans tailored to individual patient needs, its role in predictive modeling for disease risks and prevention, as well as virtual health coaches offering personalized guidance for wellness management. The challenges and ethical dilemmas of metaverse healthcare and federated learning, along with potential solutions, are also considered.

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Health

Books in Biotechnology

Photonic Sensors for Detection of VOC Biomarkers

Feedback Control and Adaptive Learning in Optical-Tweezer Robotics

Secondary Metabolites in Stress and Disease Management

Artificial Intelligence and Machine Learning in Healthcare

Machine Learning in MRI

Robotics and Artificial Intelligence for Reproductive Medicine

Applied Mathematical Modeling for Biomedical Robotics and Wearable Devices

Advances in Applied Microbiology

Advances in Applied Microbiology

Federated Learning in Metaverse Healthcare

Related subjects