Next-Generation Point-Of-Care Diagnostic Systems, Biosensors, and Digital Biosensing Innovations

TOPICAL COLLECTIONS

Guest Editors

Nabil Hossain Bhuiyan

KwangWoon University

Dr. Nabil H. Bhuiyan earned his PhD in Radio Sciences and Engineering (current name is Electronic Convergence Engineering) from KwangWoon University in Seoul, South Korea. His doctoral work focused on "IoT-based AI Microfluidic Biochip Systems for Infectious Disease Monitoring". His research aimed to create smarter diagnostic tools using AI and cloud technology, specifically lab-on-a-chip (LOC) platforms and highly efficient biosensors for precise disease diagnosis. Currently, Dr. Bhuiyan holds the dual roles of principal investigator (PI) and post-doctoral research fellow at KwangWoon University, continuing his dedication to advancing infectious disease monitoring and healthcare technology. His goal is to improve healthcare by providing healthcare professionals with advanced tools and methods for better patient care and disease management. Dr. Bhuiyan's work is driven by his commitment to a healthier future for all.

Bappa Sarkar

KwangWoon University, Bio-IT Convergence Lab

Bappa Sarkar graduated from Islamic University, Kushtia, Bangladesh, with a Bachelor of Science (B.Sc.) in Computer Science and Engineering in 2006 and a Master of Science (M.Sc.) in Computer Science and Engineering in 2007. Since 2013, he has served as an assistant professor in the Department of Computer Science and Engineering at Islamic University in Kushtia, Bangladesh. Currently, he is also a Ph.D. fellow at KwangWoon University's Bio-IT Convergence Lab in Seoul, Republic of Korea. His research interests include wearable devices, point-of-care (PoC) devices, smart biochips, biosensors, and AI-based microfluidic control.

Zhenguo Li

KwangWoon University

Mr. Zhenguo Li graduated from Yanbian University in China, majoring in communication engineering (B.E.). Currently, he is pursuing an MSc in Electronic Convergence Engineering from Kwangwoon University, South Korea. His research is related to biomedical engineering and focuses on developing lab-on-a-chip-based quantitative techniques for disease detection. He is passionate about exploring innovative methods to improve the efficiency and accuracy of disease diagnosis. In the future, Mr. Li is willing to pursue higher degrees in this research field and build his academic career.

Md Tareq Rahman

KwangWoon University, Bio-IT Convergence Lab

Md Tareq Rahman graduated from Islamic University, Kushtia, Bangladesh, with a Bachelor of Science (B.Sc.) in Electrical and Electronic Engineering in 2018 and a Master of Science (M.Sc.) in Electrical and Electronic Engineering in 2020. He is currently pursuing a PhD in the Bio-IT Convergence Lab at KwangWoon University. His research focuses on nanomaterials and biosensors.

Collection Overview

The landscape of healthcare is rapidly evolving with advancements in technology and diagnostics. The integration of point-of-care (POC) diagnostic systems and digital innovations with biosensing technologies holds significant promise in revolutionizing healthcare delivery. The collection will encompass a comprehensive range of research articles, reviews, and case studies that delve into the synergistic fusion of POC diagnostic systems and digital biosensing technologies. It will cover various fields, including biotechnology, nanotechnology, microfluidics, colorimetry, lab-on-a-chip (LOC), sensor development, data analytics, and clinical applications.

Articles that cover the following theme will be given priority to be included in the collection:

Innovations in Point-of-Care Diagnostics: This theme will focus on breakthroughs in POC technologies, including miniaturized devices, rapid testing platforms, and novel sensing methodologies, all contributing to quicker and more accurate diagnostics.
Digital Biosensing Technologies: Exploring cutting-edge digital biosensing technologies such as wearable sensors, smartphone applications, and remote monitoring systems that enhance patient engagement and enable real-time data analysis.
Clinical Applications and Impact: Investigating real-world applications of integrated POC and digital biosensing systems across various medical disciplines, highlighting their clinical efficacy, cost-effectiveness, and potential to transform patient care.
Challenges and Future Directions: Addressing the challenges associated with technology integration, data security, regulatory considerations, and the roadmap for scaling these innovations to wider healthcare adoption.

By highlighting the collaborative efforts of researchers, engineers, and medical professionals, this collection seeks to provide a holistic perspective on the next-generation solutions shaping the future of healthcare.