Supplemental Table 2 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population | Synapse
September 10, 2025Open Access
Supplemental Table 2 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population
Key Points
Utilizing serum-derived lipidomics improves early detection of ovarian cancer in symptomatic patients.
The approach incorporates machine learning to analyze biomarkers and lipidomic profiles effectively.
Cohort demographic details emphasize the significance of tailored detection methods for ovarian cancer.
Findings indicate potential benefits of integrating lipidomics with established diagnostic procedures.