How AI disease modeling can support precision medicine for glioma/other cancers

Presented by

Dr Anton Yuryev, Biology Director, Elsevier

About this talk

Join biological modeling expert Dr. Anton Yuryev for an exclusive look at disease modeling that informed precision medicine decisions. In this project, OMICs data for patients with the brain cancer diffuse intrinsic pontine glioma (DIPG) was analyzed using an Elsevier biology knowledge graph and complementary software to develop a molecular disease model. This model was then leveraged to find FDA-approved drugs inhibiting the disease mechanism. In this webinar, you’ll see: - The workflow for importing patient OMICs data, projecting onto an Elsevier biology knowledge graph, and building a unified consensus disease model - The workflow for finding and ranking drugs that could inhibit the disease mechanism, and how this drug selection was refined - The mutations found in all DIPG patients and how common these are in other cancer types The webinar includes a Q&A session with Dr. Yuryev.
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