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Instant Diagnosis Using Raman Spectroscopy and Generative Adversarial Networks: A Blood-Based Study on Seasonal Flu,

Rekha Puthenkaleekkal Thankappan¹, Dhanya Reghu¹, Dipak Kumbhar¹

¹Department of Inorganic and Physical Chemistry, Indian Institute of Science, Bangalore, Karnataka, India.

Journal of Biophotonics

|April 2, 2025

Summary

Rapidly detect infectious diseases like flu, COVID-19, and dengue using Raman spectroscopy and AI. This blood plasma test offers a quick, accurate alternative to multiple diagnostic kits for emerging viral threats.

Keywords:

COVID‐19 Raman spectroscopy artificial intelligence disease diagnosis generative adversarial network

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Published on: January 30, 2017

Area of Science:

Biomedical Diagnostics
Spectroscopy
Artificial Intelligence

Background:

Accurate and rapid diagnosis of infectious diseases (e.g., COVID-19, flu, dengue) is critical during outbreaks.
Viral mutations and emergence of new threats necessitate advanced diagnostic tools capable of differentiating diseases with similar symptoms.
Current diagnostic methods can be time-consuming and disease-specific, posing challenges for emerging infectious diseases.

Purpose of the Study:

To develop a rapid and precise diagnostic method for infectious diseases using Raman spectroscopy and generative artificial intelligence.
To create a versatile technology capable of distinguishing between various viral infections with overlapping symptoms.
To offer an alternative to developing numerous single-disease diagnostic kits.

Main Methods:

Utilized laser-based Raman scattered signals from dried blood plasma.
Integrated generative artificial intelligence for data analysis and diagnosis.
Optimized a predictive model for high accuracy and speed.

Main Results:

Achieved high predictive scores: 96% for flu, 98% for COVID-19, and 100% for dengue.
Demonstrated rapid turnaround time for diagnosis.
Validated the potential for differentiating between diseases with similar clinical presentations.

Conclusions:

Raman spectroscopy combined with AI offers a fast and accurate method for diagnosing infectious diseases from dried blood plasma.
This approach can aid in timely quarantining and disease management.
The method shows promise for broad application across various viral diseases, reducing the need for multiple diagnostic kits.