Abstract:Breast cancer is the most prevalent cancer globally. Early detection is crucial and can be achieved by detecting cancer biomarkers in blood, such as circulating miRNAs (microRNAs). In this study,...
“…The sample collection and processing procedures are similar to our previous study. 19 Serum samples for the analysis of microRNAs (miRNAs) were obtained from peripheral blood samples collected at the National Cancer Centre Singapore (Singapore) and Tan Tock Seng (Singapore) prior to biopsy and surgery. Additional serum samples were obtained from the SingHealth Tissue Repository (Singapore).…”
Section: Materials and Methodologymentioning
confidence: 99%
“…All these measurement results were then used for subsequent analysis. The vacuum condition ensured that the collected data was free from interference by water vapour, 19 as shown in the ESI, Fig. S1.…”
With the multi-modal approach combining ATR-FTIR and SERS, we achieved an extended spectral range for molecular fingerprint detection of RNA biomarkers. Machine learning results shows 91.6% blind test accuracy for label-free breast cancer diagnosis.
“…The sample collection and processing procedures are similar to our previous study. 19 Serum samples for the analysis of microRNAs (miRNAs) were obtained from peripheral blood samples collected at the National Cancer Centre Singapore (Singapore) and Tan Tock Seng (Singapore) prior to biopsy and surgery. Additional serum samples were obtained from the SingHealth Tissue Repository (Singapore).…”
Section: Materials and Methodologymentioning
confidence: 99%
“…All these measurement results were then used for subsequent analysis. The vacuum condition ensured that the collected data was free from interference by water vapour, 19 as shown in the ESI, Fig. S1.…”
With the multi-modal approach combining ATR-FTIR and SERS, we achieved an extended spectral range for molecular fingerprint detection of RNA biomarkers. Machine learning results shows 91.6% blind test accuracy for label-free breast cancer diagnosis.
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