In the context of health and disease, individual elements act as parts of a larger system to exert physiological and pathological effects on an organism. Technological advancements in recent years now allow scientists to visualize and investigate molecules, cells, and tissues within larger structural contexts. Spatial biology helps researchers understand how location and proximity influence and modulate function at large.
In this webinar from The Scientist, Elana Fertig and Sanjay Srivatsan will discuss the importance of spatial data and how to extract insights from high-throughput datasets.
Topics to be covered
- Machine learning for spatial multi-omics in cancer biology
- Embryo-scale spatial transcriptomics with single-cell resolution
Meet the Speakers
Elana Fertig, PhD
Director, Division of Biostatistics and Bioinformatics and Research Program in Quantitative Sciences
Associate Professor, Oncology, Biomedical Engineering, and Applied Mathematics and Statistics
Johns Hopkins University
Sanjay Srivatsan, PhD
Department of Genome Sciences
University of Washington