Smart Biosensing Technologies for Early Detection of Metabolic Disorders
- 1st Edition - August 7, 2026
- Latest edition
- Authors: Kanwal Rehman, Muhammad Sajid Hamid Akash
- Language: English
Smart Biosensing Technologies for Early Detection of Metabolic Disorders gives a clear overview of the latest biosensor tools that help detect and monitor metabolic diseases like d… Read more
Description
Description
Smart Biosensing Technologies for Early Detection of Metabolic Disorders gives a clear overview of the latest biosensor tools that help detect and monitor metabolic diseases like diabetes, obesity, and insulin resistance early. It explains how these sensors work using basic science and shows new wearable, non-invasive, and easy-to-use devices. This book is useful for researchers, doctors, and professionals working in healthcare technology. This book connects research from different fields to help solve real problems in making and using biosensors. It includes examples of how these sensors are used, new markers for disease detection, and how AI and digital health can improve care. Readers will learn how to develop better diagnostic tools and improve treatment for metabolic diseases.
Key features
Key features
- Provides comprehensive coverage of smart biosensing technologies for MDs, emphasizing biophysical mechanisms and disease-specific applications
- Includes translational case studies and practical guidance on clinical validation, reliability assessment, regulatory challenges, and commercialization pathways
- Highlights emerging biomarkers, multiomic approaches, AI-enabled biosensors, and digital health integration for personalized metabolic healthcare
- Bridges multidisciplinary perspectives from biomedical sciences, engineering, data science, and pharmaceutical innovation to support real-world clinical impact
Readership
Readership
Researchers and faculty in biophysics, biosensors, bioengineering, pharmaceutical sciences, and biomedical sciences; graduate students in related fields; clinician-scientists focusing on metabolic disorder diagnostics; R&D professionals in diagnostics and biotechnology; and healthcare innovators integrating biosensors with digital health
Table of contents
Table of contents
Section I: Foundations of biosensing and metabolic disorders
1. Detecting the preclinical window in metabolic disorders: Biomarkers, biosensors, diagnostic challenges, and translational opportunities
2. Multi-omic biomarkers and biosensors for metabolic disorders: Discovery to clinical translation
3. Metabolic biosensing technologies: Biophysical foundations, transduction strategies, and clinical translation
Section II: Emerging biosensing platforms for biomarker detection
4. Nanomaterials for metabolic biosensing: Interfacial biophysics, analytical performance, and clinical translation
5. Microfluidic and paper-based biosensing technologies for metabolic disorders: From sample processing to clinical translation
6. Wearable optical and electrochemical biosensors for continuous metabolic monitoring: Principles, system integration, and clinical translation
Section III: Smart and intelligent biosensing approaches
7. Artificial intelligence and machine learning for metabolic biosensors: From data analytics to clinical deployment
8. Cloud—edge architectures for connected metabolic care: IoMT integration, interoperability, analytics, and lifecycle management
9. Continuous wearable and implantable biosensors for metabolic disorders: From biosensing technologies to clinical translation
Section IV: Applications in early detection of specific metabolic disorders
10. Smart biosensing technologies for diabetes mellitus: From biomarker discovery and sensor design to clinical validation and real-world deployment
11. Multimodal biosensing and continuous phenotyping for obesity and metabolic syndrome: Biomarkers, sensor systems, and clinical translation
12. Translational cardiometabolic biosensing integrating biomarkers, multiplex panels, sensing strategies, and clinical validation
13. Multi-omic biomarkers, biosensing technologies, and precision diagnostics for rare and inherited metabolic disorders
14. Advanced biophysical biosensing strategies for monitoring oxidative stress and inflammation in metabolic disorders
Section V: Translational perspectives and future directions
15. Translating smart biosensors for metabolic health: Regulatory pathways, ethical governance and commercialization strategy
1. Detecting the preclinical window in metabolic disorders: Biomarkers, biosensors, diagnostic challenges, and translational opportunities
2. Multi-omic biomarkers and biosensors for metabolic disorders: Discovery to clinical translation
3. Metabolic biosensing technologies: Biophysical foundations, transduction strategies, and clinical translation
Section II: Emerging biosensing platforms for biomarker detection
4. Nanomaterials for metabolic biosensing: Interfacial biophysics, analytical performance, and clinical translation
5. Microfluidic and paper-based biosensing technologies for metabolic disorders: From sample processing to clinical translation
6. Wearable optical and electrochemical biosensors for continuous metabolic monitoring: Principles, system integration, and clinical translation
Section III: Smart and intelligent biosensing approaches
7. Artificial intelligence and machine learning for metabolic biosensors: From data analytics to clinical deployment
8. Cloud—edge architectures for connected metabolic care: IoMT integration, interoperability, analytics, and lifecycle management
9. Continuous wearable and implantable biosensors for metabolic disorders: From biosensing technologies to clinical translation
Section IV: Applications in early detection of specific metabolic disorders
10. Smart biosensing technologies for diabetes mellitus: From biomarker discovery and sensor design to clinical validation and real-world deployment
11. Multimodal biosensing and continuous phenotyping for obesity and metabolic syndrome: Biomarkers, sensor systems, and clinical translation
12. Translational cardiometabolic biosensing integrating biomarkers, multiplex panels, sensing strategies, and clinical validation
13. Multi-omic biomarkers, biosensing technologies, and precision diagnostics for rare and inherited metabolic disorders
14. Advanced biophysical biosensing strategies for monitoring oxidative stress and inflammation in metabolic disorders
Section V: Translational perspectives and future directions
15. Translating smart biosensors for metabolic health: Regulatory pathways, ethical governance and commercialization strategy
Product details
Product details
- Edition: 1
- Latest edition
- Published: August 7, 2026
- Language: English
About the authors
About the authors
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Kanwal Rehman
Dr. Kanwal Rehman is working as an Associate Professor at the Department of Pharmacy in The Women University, Multan, Pakistan. Dr. Rehman received her PhD in Pharmacology from Zhejiang University, China. She nurtures
a keen interest in the pathogenesis of metabolic disorders and new therapeutic modalities for its treatment. Currently, she
is focusing on the investigation of the role of pharmacogenomics based upon gene polymorphism on various molecular and
metabolic pathways that are involved in mitogenic disorders and treatment strategies, like natural biogenic compounds against different risk factors of metabolic disorders, including pancreatitis, cardiometabolic disorders, and hormonal imbalance. Dr. Rehman has also been awarded the Research Productivity Award by the Pakistan Council for Science and Technology, Pakistan; the PAS Gold Medal from the Pakistan Academy of Sciences; and the A.R. Shakoori Gold Medal from the Zoological Society of Pakistan.
Affiliations and expertise
Associate Professor, Department of Pharmacy, The Women University, Multan, PakistanMA
Muhammad Sajid Hamid Akash
Dr. Akash is currently working as an Associate Professor at the Department of Pharmaceutical Chemistry, Government College University Faisalabad, Pakistan. He got his PhD degree in Pharmaceutical Analysis from Zhejiang University, China. Currently, he is focusing on investigating the effect of endocrine disrupting
chemicals on various molecular and metabolic pathways that are involved in metabolic disorders and their treatment strategies. His research work is cutting-edge and worthy of extension in developing countries, like Pakistan, where it can be most beneficial and cost-effective, especially for diabetic patients. Based on his significant scientific contributions in
the field of Pharmaceutical Sciences, he has been awarded “Research Productivity Awards” from the Pakistan Council for Science and Technology, the PAS Gold Medal from the Pakistan Academy of Sciences, and the A.R. Shakoori Gold Medal from the Zoological Society of Pakistan.
Affiliations and expertise
Associate Professor and Chairman at Department of Pharmaceutical Chemistry, Government College University Faisalabad (GCUF), Pakistan