Smart Biosensing Technologies for Early Detection of Metabolic Disorders
- 1st Edition - September 30, 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 metabolic disorders, emphasizing biophysical mechanisms and disease-specific applications
- Includes translational case studies and practical guidance on clinical validation, regulatory challenges, and commercialization pathways
- Highlights emerging biomarkers, AI-enabled biosensors, and digital health integration for personalized metabolic healthcare
- Bridges multidisciplinary perspectives from biomedical sciences, engineering, and pharmaceutical innovation to support real-world 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. Introduction to Metabolic Disorders and Diagnostic Needs
2. Biomarkers of Metabolic Disorders: Molecular, Genetic, Proteomic, and Biophysical Insights
3. Principles and Platforms of Biosensing Technologies: Physical, Molecular and Biophysical Detection Mechanisms
Section II: Emerging Biosensing Platforms for Biomarker Detection
4. Nanomaterial-Based Biosensors: Sensitivity, Selectivity, and Nano-Biophysical Interactions
5. Microfluidic, Lab-on-a-Chip, and Paper-Based Devices for Point-of-Care Diagnostics
6. Optical, Electrochemical, and Wearable Biosensors for Metabolic Health Monitoring
Section III: Smart and Intelligent Biosensing Approaches
7. Artificial Intelligence and Machine Learning in Biosensing Data Analytics
8. Internet of Medical Things (IoMT) and Cloud-Connected Biosensors
9. Smart Wearables and Implantable Biosensors for Continuous Monitoring
Section IV: Applications in Early Detection of Specific Metabolic Disorders
10. Biosensing Approaches for Diabetes and Its Complications
11. Smart Biosensors for Obesity and Metabolic Syndrome Detection
12. Biosensing Strategies for Cardiometabolic Biomarkers
13. Biomarker Detection for Rare and Inherited Metabolic Disorders
14. Monitoring Oxidative Stress and Inflammation in Metabolic Disorders: Biosensing and Biophysical Methods
Section V: Translational Perspectives and Future Directions
15. Regulatory, Ethical, and Commercialization Challenges in Smart Biosensing
1. Introduction to Metabolic Disorders and Diagnostic Needs
2. Biomarkers of Metabolic Disorders: Molecular, Genetic, Proteomic, and Biophysical Insights
3. Principles and Platforms of Biosensing Technologies: Physical, Molecular and Biophysical Detection Mechanisms
Section II: Emerging Biosensing Platforms for Biomarker Detection
4. Nanomaterial-Based Biosensors: Sensitivity, Selectivity, and Nano-Biophysical Interactions
5. Microfluidic, Lab-on-a-Chip, and Paper-Based Devices for Point-of-Care Diagnostics
6. Optical, Electrochemical, and Wearable Biosensors for Metabolic Health Monitoring
Section III: Smart and Intelligent Biosensing Approaches
7. Artificial Intelligence and Machine Learning in Biosensing Data Analytics
8. Internet of Medical Things (IoMT) and Cloud-Connected Biosensors
9. Smart Wearables and Implantable Biosensors for Continuous Monitoring
Section IV: Applications in Early Detection of Specific Metabolic Disorders
10. Biosensing Approaches for Diabetes and Its Complications
11. Smart Biosensors for Obesity and Metabolic Syndrome Detection
12. Biosensing Strategies for Cardiometabolic Biomarkers
13. Biomarker Detection for Rare and Inherited Metabolic Disorders
14. Monitoring Oxidative Stress and Inflammation in Metabolic Disorders: Biosensing and Biophysical Methods
Section V: Translational Perspectives and Future Directions
15. Regulatory, Ethical, and Commercialization Challenges in Smart Biosensing
Product details
Product details
- Edition: 1
- Latest edition
- Published: September 30, 2026
- Language: English
About the authors
About the authors
KR
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 in 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