Multi-omics Data Curation in the Age of AI

Public omics data are valuable resources for various aspects of drug research. However, there's a paradox: the more data you have, the harder it becomes to actually utilize them.

Why is this? Public omics data are often presented in diverse units, formats, and metadata vocabularies, making it extremely challenging to cross-analyze or integrate them. So, how can we efficiently curate, harmonize, and standardize public multi-omic data?

Join us for this webinar where we discuss this fascinating topic with Dr. Eugene Bolotin, CEO & Principal Consultant at Miraomics, and Jenny Pham, Head of Training Programs at Pythia Biosciences. Here's what you'll learn:

- How AI-driven approaches can help streamline the curation, processing, and integration of multi-omics data

- Introduction to Pythiomics, a meticulously curated multi-omics database that leverages AI-driven approaches for metadata harmonization and cell type prediction.

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