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Keywords: Computer Software, Biotechnology, Drug Discovery
Biomedical Discovery, Data Analysis
This technology has a multi-modal and multi-relational network of biomedical objects extracted from several heterogeneous datasets from the National Center for Biotechnology Information. MOLIERE models hypotheses using Latent Dirichlet Allocation applied on abstracts found near shortest paths discovered within the network. Effectiveness is demonstrated by performing hypothesis generation on historical data.
• Has a different algorithmic procedure from existing technology.
• Has massive validation results.
• Potentially can be used in the drug discovery pipeline.
Prototype
2020-028
Ilya Safro
Contact
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