Supplemental Table 1 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population

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• Early detection of ovarian cancer was improved through the integration of lipidomics and machine learning techniques.
• The study highlighted a correlation between serum lipid profiles and ovarian cancer biomarkers, emphasizing their diagnostic potential.
• This observational analysis used various biomarker assays to evaluate lipidomic signatures in symptomatic individuals at risk.
• Implementing these techniques could significantly enhance early diagnostic capabilities, enabling timely interventions.