Supplemental Figure 4 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population
Key Points
Application of machine learning with lipidomics demonstrated potential for early detection of ovarian cancer.
Analysis of serum-derived lipid profiles suggests differences between cohorts in indicative biomarkers.
Use of protein biomarkers alongside lipidomic data can improve the accuracy of ovarian cancer prediction.
This approach supports further exploration of lipid profiles for non-invasive cancer screening methods.
Abstract
Supplemental Figure 4. Global Serum Lipid Profile in Cohort 1 and Cohort 2
Supplemental Figure 4 from Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population | Synapse