Technical Principle
The core of HaiDx lies in the “cloud virtual instrument” concept. Optical changes from reagent-sample reactions are captured by mobile or dedicated terminal cameras and securely transmitted via network to cloud servers. Servers utilize advanced machine learning models, big data comparison, and white-box AI algorithms to analyze physical signals and return corresponding physiological indicators in real time. This greatly reduces reliance on expensive hardware in traditional laboratories, creating an innovative architecture of “distributed sensors + centralized cloud computing.”
Cloud IVD Technology
At the heart of HaiDx is an innovative cloud-based in-vitro diagnostic architecture.
Instead of relying on multiple traditional analyzers, HaiDx uses intelligent consumables, mobile sensing technology, cloud computing, and AI algorithms to create a virtual laboratory.
The detection process:
1, Sample reacts with diagnostic reagents.
2, Optical signals are captured through intelligent devices.
3, Data is transmitted securely to the cloud.
4, AI algorithms analyze millions of medical data points.
5, Diagnostic results are delivered instantly.
A complete laboratory capability can now be deployed anywhere.
Cloud Quality Control Process
HaiDx has built a comprehensive online quality control system with the following workflow: 1. Sample retention and environmental monitoring → 2. Virtual instrument calibration and manual review → 3. Full tracking of reagent usage → 4. Personnel capability assessment and training records → 5. Data traceability and anomaly alerts, forming a closed-loop supervision to ensure every test result is reliable and traceable.
