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Elsevier

Artificial Intelligence in Point-of-Care Nanobiosensors Technology

Enhancing Disease Diagnostics and Improved Healthcare Outcomes

  • 1st Edition - February 1, 2027
  • Latest edition
  • Editors: Tharmaraj Vairaperumal, Devi Selvaraj, Ping-Yen Liu
  • Language: English

Artificial Intelligence in Point-of-Care Nanobiosensors Technology: Enhancing Disease Diagnostics and Improved Healthcare Outcomes delves into the revolutionary integration of art… Read more

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Description

Artificial Intelligence in Point-of-Care Nanobiosensors Technology: Enhancing Disease Diagnostics and Improved Healthcare Outcomes delves into the revolutionary integration of artificial intelligence (AI) with nanobiosensors to elevate point-of-care (POC) diagnostics for both communicable and non-communicable diseases. Readers will find insightful chapters covering topics ranging from foundational AI and machine learning techniques to specific applications in cardiovascular disease, diabetes, cancer, chronic respiratory ailments, and infectious diseases. Each chapter not only highlights recent breakthroughs in nanobiosensors but also emphasizes the pivotal role of AI in enhancing diagnostic accuracy and facilitating personalized health interventions. Additional discussions around regulatory considerations and the future landscape of AI in biomedical research make this an essential read for those navigating this rapidly evolving field. This book primarily targets researchers and professionals engaged in the interdisciplinary realms of AI, nanomaterials, and biomedical sciences. By providing a critical understanding of emerging AI-based diagnostic technologies and their applications in POC settings, this book fosters collaboration across diverse scientific domains.

Key features

  • Integrates AI and nanobiosensors to enhance diagnostic accuracy in point-of-care settings
  • Provides interdisciplinary insights to foster collaboration across biomedical and engineering fields
  • Explores innovative applications in diagnosing cardiovascular, diabetes, and infectious diseases
  • Addresses regulatory considerations for the safe implementation of AI-driven diagnostic technologies
  • Offers a comprehensive overview of emerging trends in biomedical research and technology

Readership

Researchers and graduate students in the fields of biomedical engineering, nanotechnology, and healthcare, particularly those interested in AI integration in point-of-care diagnostics for disease management

Table of contents

1. Advancements in Artificial Intelligence and Machine Learning Techniques in Biomedical Research: An Overview

2. Recent Advances in Nanobiosensors for Point-of-Care Disease Diagnosis Applications

3. Current State of Artificial Intelligence in Point-of-Care Technology

4. Overview and Classification of Non-Communicable and Communicable Diseases

5. The Role of Artificial Intelligence in Nanobiosensors for Point-of-Care Detection and Diagnosis of Cardiovascular Disease

6. AI-Integrated Nanobiosensors for Point-of-Care Glucose Detection and Monitoring of Diabetes Mellitus

7. Integrating AI with Point-of-Care Nanobiosensor Approaches for Cancer Diagnosis and Management

8. AI-Enabled Point-of-Care Nanobiosensor Platform for Diagnosis of Chronic Respiratory Diseases

9. Nanobiosensor-Based Point-of-Care Detection for Viral Infections and Advanced AI for Enhanced Infection Management

10. Emerging Point-of-Care Nanobiosensor Integrated with AI for Detection and Management of Bacterial Infections

11. AI-Assisted Nanobiosensor for Point-of-Care Diagnosis of Fungal Infectious Disease

12. Artificial Intelligence-Enabled Smartphones with Nanobiosensors for Point-of-Care Health Monitoring

13. Artificial Intelligence-Powered Wearable Sensors for Point-of-Care Health Monitoring

14. Next-Generation AI-Enabled Portable Point-of-Care Diagnostic Devices for Enhanced Healthcare and Personalized Medicine

15. The Future of Artificial Intelligence in Biomedical Research and Technology

Product details

  • Edition: 1
  • Latest edition
  • Published: February 1, 2027
  • Language: English

About the editors

TV

Tharmaraj Vairaperumal

Dr. Tharmaraj Vairaperumal, Postdoctoral Research Scientist at Institute of Clinical Medicine, National Cheng Kung University, Taiwan. His research expertise involves the development of advanced point-of-care testing technologies, focusing on portable microfluidic devices integrated with nanobiosensors for cardiovascular diagnostics.

Affiliations and expertise
Institute of Clinical Medicine, National Cheng Kung University, Taiwan

DS

Devi Selvaraj

Dr. Devi Selvaraj, Assistant Professor in the P.G. and Research Department of Chemistry at Cauvery College for Women, India. Her research focuses on the design and development of nanomaterial-based electrochemical biosensors for point-of-care testing applications.

Affiliations and expertise
Assistant Professor, P.G. and Research Department of Chemistry at Cauvery College for Women, India

PL

Ping-Yen Liu

Prof. Ping-Yen Liu, Director of Internal Medicine at National Cheng Kung University Hospital, and Affiliated Distinguished Professor at Division of Cardiology, Institute of Clinical Medicine, National Cheng Kung University, Taiwan. His research focuses on developing nanobiosensor-based PoCT technologies for cardiovascular diagnostics.

Affiliations and expertise
Director of Internal Medicine, National Cheng Kung University Hospital, Tainan, Taiwan