Immunity testing against COVID-19 from blood by an IoT-enabled and AI-controlled multiplexed microfluidic platform

Area of Science:

• Immunology
• Biotechnology
• Public Health

Background:

• Achieving herd immunity against SARS-CoV-2 is crucial for controlling the COVID-19 pandemic.
• Challenges include vaccine-induced immunity uncertainty and unequal vaccine distribution, necessitating continuous monitoring.

Purpose of the Study:

• To develop an AI-driven multiplexed point-of-care testing (POCT) platform for assessing SARS-CoV-2 immunity.
• To enable real-time analysis of herd immunity progress and support public health interventions.

Main Methods:

• Utilized a microfluidic lab-on-a-chip (LOC) device for multiplexed analysis of bodily fluid response.
• Developed an AI-driven platform for quantifying SARS-CoV-2 S-protein, N-protein, IgM, and IgG.
• Integrated a web-based dashboard for territory-specific data analysis.

Main Results:

• Successfully quantified SARS-CoV-2 S-protein, N-protein, IgM, and IgG with low limits of detection (LODs).
• Achieved LODs of 0.01 ng/mL for S-protein, 0.02 ng/mL for N-protein, 0.69 ng/mL for IgM, and 0.61 ng/mL for IgG.
• Demonstrated a functional web-based dashboard for real-time herd immunity monitoring.

Conclusions:

• The proposed AI-driven POCT platform is effective for serodiagnosis and monitoring immune response to SARS-CoV-2.
• This technology can be a vital tool for public health authorities in managing COVID-19 and future pandemics.
• Ensuring effective immunization through routine serodiagnosis is essential for sustainable immunity.