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

• Early detection of ovarian cancer was facilitated through serum-derived lipidomics and protein biomarkers.
• The cohort sample distribution was refined, showing important metrics for effective early detection.
• Analysis incorporated machine learning techniques to improve accuracy in identifying ovarian cancer symptoms.
• These findings highlight the potential for integrating lipidomics and machine learning in clinical settings.