Multi-Omics Integration and Systems Biology
Integrating genomics, transcriptomics, proteomics, and metabolomics provides a comprehensive understanding of disease mechanisms. This session will explore strategies for merging multi-omics data to identify complex biomarker networks and molecular pathways. Researchers will discuss computational modeling, network biology, and data harmonization techniques essential for integrative analyses. Case studies demonstrating cross-omics biomarker discovery in cancer, neurodegenerative, and metabolic diseases will be presented.
The track emphasizes systems-level insights that facilitate personalized diagnosis and therapy optimization. Attendees will learn how integrated omics platforms are advancing drug target identification and biomarker validation. The role of systems biology in uncovering disease complexity and intercellular interactions will be highlighted. By participating, delegates will gain the skills to apply holistic multi-omics approaches for precision medicine and translational research innovation.
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Multi-Omics Integration and Systems Biology Conference Speakers
Recommended Sessions
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