Bringing Together Multi-Omics & Real-World Data to Accelerate Insight Delivery for Biomarker Discovery and Drug Development

Watch along as we delve into our solution for integrating and utilizing diverse multi-omics datasets, which have been generated at scale using Sapient’s next-generation mass spectrometry-based approaches, including with the harmonization of matched real-world data (RWD). We showcase how bringing together these complex and disparate datasets allows for more comprehensive understanding of the biological underpinnings of disease and drug response, within the context of patients’ real-world experience and outcomes. Rancho  discusses the data lakehouse infrastructure and how it significantly enhances the integration, visualization, analysis, and utilization of Sapient’s multidimensional biomarker and clinical datasets to inform treatment strategies.

You’ll hear about:

• Data management strategies to bring together massive, complex multi-omics datasets in a single clinical-molecular database, reducing data silos and improving accessibility
• Development of a Common Data Model to integrate diverse biomedical datasets for more reliable and reproducible analyses across studies
• Data harmonization strategies leading to a significant reduction in redundancy and variability in terminology across data sources
• Real-world examples of how this analysis-ready data empowers rapid biomarker discovery and quicker, data-driven decision-making through the drug development phases

Don’t miss this opportunity to learn how to gain a more comprehensive understanding of disease mechanisms, inform more effective treatment strategies and patient stratification, and accelerate your research and development timelines.