Harnessing Multiomics and Machine Learning to Overcome Metadata Challenges and Build Predictive Biomarker Signatures
- Address logistical and analytical challenges in metadata capture to ensure robust, reproducible linkage between omics data and clinical outcomes
- Discuss how multiomic integration can reflect IBD’s molecular complexity and drive more accurate biomarker discover
- Learn how machine learning approaches can integrate multiomic datasets to identify composite