Supplemental Table 3 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population

Key Points

• Machine learning improves early detection of ovarian cancer among symptomatic individuals, enhancing diagnostic methods.
• The approach integrates lipidomics and protein biomarkers to optimize screening techniques for ovarian cancer.
• A new cohort subset was established to refine the analysis and support the study’s findings on cancer detection efficacy.
• Findings indicate a promising direction for future screening processes, suggesting improvements in standard diagnostic protocols.