IoMT Architecture for Fully Automated Point-of-Care Molecular Diagnostic Device

Area of Science:

• Biotechnology
• Medical Diagnostics
• Computer Science

Background:

• The Internet of Medical Things (IoMT) is transforming healthcare with connected devices and data analytics.
• Infectious diseases necessitate rapid, decentralized diagnostics, which traditional centralized testing struggles to provide.
• Existing point-of-care molecular diagnostic (POC-MD) systems face challenges in cost, accessibility, and network efficiency.

Purpose of the Study:

• To propose a novel IoMT-based architecture for fully automated POC-MD devices.
• To enhance communication efficiency and microfluidic cartridge performance for decentralized diagnostics.
• To establish a scalable and flexible platform for next-generation disease detection.

Main Methods:

• Development of an IoMT architecture integrating DNA extraction and real-time PCR.
• Utilization of WebSockets for optimized communication between modular components.
• Incorporation of a hardware-based emulator for real-time system validation.
• Leveraging a previously validated cartridge architecture for CT/NG detection.

Main Results:

• The proposed system integrates modular, networked components for DNA extraction and real-time PCR.
• The architecture is designed for enhanced flexibility and scalability in POC-MD.
• A previously validated cartridge platform demonstrated high concordance with commercial assays (LOD < 10 copies/μL).

Conclusions:

• The IoMT-based architecture offers a potential solution for rapid, reliable, and accessible point-of-care molecular diagnostics.
• This system addresses limitations of current diagnostic methods, paving the way for next-generation disease detection.
• The validated underlying cartridge technology supports the feasibility of this advanced diagnostic approach.