From Data to Discovery: How AI Is Finding Hidden Cures
summary
The talk describes how Rare Hopes combines tellic LLC’s 911-million-edge knowledge graph, AbbVie’s applied biomedical research, and TXI Digital’s product design to mine 53+ million scientific documents using machine learning, NLP, and biomedical semantic technology to surface hidden drug-disease connections (e.g., linking papers to nominate ruxolitinib for Carney Complex). It also covers how that ontology-driven data architecture is turned into usable tools — from conversational AI interfaces to patient-facing product design — and argues for curated domain-specific data and human-centered experiences over raw LLM outputs.
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