Panel discussion: Implementing ML in biopharma R&D
A discussion with Cyclica, Altis Labs, Elucidata, and Atomwise on how to run successful machine learning projects in biotech and pharma R&D.
Framework for quality of high-dimensional biological data
Presentation at Elucidata’s User Group Meeting on how our team evaluates and measures data quality while making high-dimensional biological data Findable, Accessible, Interoperable, and Reusable (FAIR).
Role of data-curation with ontologies in biopharma R&D
Talk with Pistoia Alliance, a non-profit alliance working to increase pre-competitive collaboration in life sciences industry. The talk highlights the role of data curation through ontologies to make data FAIR and to accelerate research.
Product release: Curated multi-omics data atlas
Product release for Elucidata’s Liver OmixAtlas, the largest repository of ML-ready liver tissue-derived biological datasets. The goal is to provide a curated data source of scRNA-seq, RNA-seq, proteomics, and metabolomics data to accelerate drug discovery.