aceRapid serum-based differentiation of ovarian tumors and assessment of post-treatment disease-free status using portable Raman spectroscopy and machine learning
Rapid, low-cost tools for ovarian tumor discrimination and post-treatment assessment remain limited because conventional serum biomarkers such as CA125 have suboptimal sensitivity and specificity. Serum contains proteins, lipids, carbohydrates, and nucleic acids that generate disease-related spectrochemical fingerprints, which portable Raman spectroscopy can capture with minimal sample preparation. We investigated serum Raman profiling for ovarian tumor discrimination and cross-sectional characterization of post…
Rapid serum-based differentiation of ovarian tumors and assessment of post-treatment disease-free status using portable Raman spectroscopy and machine learning: Rapid, low-cost tools for ovarian tumor discrimination and post-treatment assessment remain limited because conventional serum biomarkers such as CA125 have suboptimal sensitivity and specificity.
Evidence
- Peer-reviewedAnalytical and Bioanalytical Chemistry2026-09-23
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Truvace Impact Record TRV-2026-1189, v1: “Rapid serum-based differentiation of ovarian tumors and assessment of post-treatment disease-free status using portable Raman spectroscopy and machine learning.” Truvace, 2026-09-26. /record/TRV-2026-1189 (accessed at citation time). sha256 38526b18e0956b96…
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