A Review on A1 Assisted Spectral Finger Printing Device and Its Rapid Detections Cancer Biomarkers in Saliva Region Aspects
Year: 2025
Type: article
Abstract: The use of AI-powered spectral fingerprinting in combination with saliva-based diagnostics represents a significant advancement in the early detection of cancer. By leveraging cutting-edge spectroscopic techniques such as Raman and infrared (IR) spectroscopy, along with machine learning algorithms, this approach can accurately identify critical cancer-related biomarkers—including miRNAs, cytokines, and genetic mutations—directly from a saliva sample.The integrated A1 module plays a central role by performing signal processing, pattern analysis, biomarker quantification, and risk assessment—delivering reliable diagnostic results within minutes. Its compact, portable design makes it ideal for remote or underserved regions, offering a practical solution for early screening and personalized healthcare.In summary, the A1-assisted salivary spectral fingerprinting system provides a non-invasive, efficient, and cost-effective diagnostic tool. It holds great promise for enhancing early detection, improving treatment outcomes, and enabling the future of real-time, point-of-care cancer diagnostics.
Author: Averineni Ravi Kumar, Shaik Gowsiya Sadika, Farhana Khatija, Samreen Shaik, Sayyad Shabana, Md.Niwazunnisa
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6893389460
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