Leveraging Multiomics for Target Discovery and Drug Development in Neuroinflammation: From Bench to Bedside
Time: 11:20 am
day: Pre Conference Day AM Track D
Details:
This session highlights the transformative role of multiomics, particularly spatial transcriptomics, in neuroinflammation drug discovery. We will explore how these cutting-edge technologies enhance target identification, validation, and translation into clinical applications. Additionally, the session addresses the challenges of current preclinical models and the integration of spatial transcriptomics with other omics and AI-based approaches to improve drug development processes.
Key Takeaways:
- Understand how spatial transcriptomics can identify novel targets in human brain samples by mapping gene expression and protein stress in relation to neurodegeneration and cognitive decline
- Learn about the limitations of traditional preclinical models and how spatial transcriptomics can provide a more accurate representation of human disease states
- Discuss the challenges associated with preserving spatial information and avoiding technical artifacts.
- Explore solutions for maintaining sample integrity and ensuring reliable data generation
- Evaluate the potential of integrating spatial transcriptomics with other omics technologies, including proteomics and AI-based image analysis, to enhance target nomination and validation processes
- Examine how spatial transcriptomics can bridge the gap between early-stage research and industry applications, focusing on high-throughput screening and validation methods
- Address the limitations of current models, such as 3D brain organoids and xenograft systems, and discuss emerging strategies for improving reproducibility and scalability in drug discovery