Two-Part Webinar Series
Technologies for analyzing proteome, metabolome, transcriptome, and epigenome data at both spatial and single-cell levels have come a long way. Taken together, these methods provide a holistic view of biological processes and systems and reveal potential therapeutic targets. However, combining and integrating data from these diverse modalities and platforms presents a significant challenge.

In this two-part GEN webinar series, our expert speakers Garry Nolan, PhD, (Part 1) will discuss MaxFuse, a new AI algorithm that provides reliable, fast, and cost-effective integration of spatial proteomic data with single-cell transcriptomic and epigenomic datasets. In part two, hear from Alexandro (Alex) Trevino, PhD, on how AI-powered algorithms within the Enable platform can facilitate comprehensive data storage, annotation, analysis, and search.

Webinar Part 2: Data Integration and Beyond: Creating and Leveraging Biological Atlases of Disease to Guide Drug Discovery
While recent advances in high-parameter spatial biology have contributed to a dramatic increase in volume and diversity of biological data, deriving actionable insights from these datasets remains a challenge due to a lack of accessible computational tools. In this webinar, Enable Medicine’s Alex Trevino, PhD, discusses how AI-powered algorithms within the Enable platform facilitate comprehensive data storage, annotation, analysis, and search.

Built on industry-leading generative AI and scientific expertise, Enable’s integrated data-to-insights platform helps scientists activate their biological data to power the next generation of life-saving diagnostics and therapeutics. With the Enable platform, access and map a vast array of structured biological data, and leverage cutting edge analysis and search to answer critical questions, from patient stratification to indication selection.

Interested in Part One: Bridging Spatial Genomics and Spatial Proteomics with MaxFuse, a New AI-Powered Algorithm – Watch Here>>