Cloud-Based Software Architecture for Fully Automated Point-of-Care Molecular Diagnostic Device

Area of Science:

• Biotechnology
• Medical Diagnostics
• Software Engineering

Background:

• Point-of-care (POC) molecular diagnostics require efficient and automated systems.
• Current POC devices often lack seamless remote control and monitoring capabilities.
• Integrating cloud technology can enhance accessibility and data management for molecular diagnostics.

Purpose of the Study:

• To propose a novel cloud-based software architecture for fully automated POC molecular diagnostic devices.
• To enable remote control and monitoring of molecular diagnostic processes.
• To ensure accessibility via various computing devices and interfaces.

Main Methods:

• Development of a cloud-based software architecture.
• Implementation of a socket server for core molecular diagnostic functions (DNA extraction, PCR amplification, fluorescence detection).
• Construction of a RESTful API for a user interface accessible from terminal, edge, cloud, and web-based smart devices.
• Fabrication of an emulator to validate the proposed architecture.

Main Results:

• A functional cloud-based software architecture for automated POC molecular diagnostics was designed and emulated.
• The system successfully integrated DNA extraction, amplification, and fluorescence detection.
• The RESTful API enabled versatile access and control through diverse computing platforms.
• The architecture demonstrated potential for remote operation and monitoring.

Conclusions:

• The proposed cloud-based architecture offers a robust solution for automated POC molecular diagnostics.
• This system enhances accessibility and control, facilitating remote laboratory operations.
• The architecture is adaptable for various smart devices, broadening the application of POC diagnostics.