Proteomic biomarker discovery has become an important strategy for identifying molecular signatures associated with disease severity, prognosis, and treatment response. Proteins provide a direct view of dynamic biological processes, including signaling, inflammation, metabolism, immune activity, and tissue remodeling, offering insights that complement genomic data. Advances in high-throughput mass spectrometry now enable the systematic measurement of protein abundance and modification patterns across large patient cohorts.
In this webinar, Annie Moradian will discuss how proteomic data can be integrated with clinical information to identify classifiers that support disease stratification and outcome prediction.
Topics to be covered:
- Proteomic biomarkers for disease stratification
- Mass spectrometry in biomarker discovery
- Machine learning for classifier development
- A neonatal encephalopathy case study
Wednesday, September 2nd 2026 | 11:00 AM – 12:00 PM Eastern Time
This webinar will be available to view live and on demand.
Speaker
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Annie Moradian, PhD
Senior Research Project Advisor
Cedars-Sinai