alexa Novel, less Invasive Technique: For Kidney Disease Findings

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Novel, less Invasive Technique: For Kidney Disease Findings

Wei-Chuan Shih, assistant professor of electrical and computer engineering, Chandra Mohan, Hugh Roy and Lillie Cranz Cullen Endowed Professor of biomedical engineering developed a technique based on the fact that the diseased kidney and healthy kidney produce different Raman Signals when Raman Spectroscopy was used.

Raman Spectroscopy provides molecular fingerprints that enable non-invasive or minimal invasive and label-free detection for the quantification of subtle molecular changes and has the potential to largely reduce the complexity in diagnosing and monitoring anti-GBM (glomerular basement membrane) diseases.

Using Multivariate analysis to Raman spectroscopy, team has successfully differentiated between the diseased and the non-diseased with up to 100 per cent accuracy, and among the severely diseased, the mildly diseased and the healthy with up to 98 per cent accuracy.

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