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Systematic analysis of risk factors is a crucial step inidentifyingcontributory elements to adverse events. Relevant data for such analysis such as external and internal safety data warehouses, product labels, industry vocabularies such as WHO Drug Dictionary, and MedDRA, are siloed impeding comprehensive analysis. In this presentation, we discuss details of how a combination of an ontology-based knowledge graph that integrates all this data, MPP-scale graph warehouse, and highly customizable UI with dynamic filtering capabilities enables safety experts to perform risk factor analysis at Wikipedia-scale and sub-minute speeds.
Envisagenics introduces SpliceCore, an AI-driven platform designed to identify novel, tumor-specific epitopes for immunotherapy leveraging thousands of RNA sequencing data sets from diseased and healthy tissues. This presentation explores the new frontier of therapeutic target discovery harnessing the untapped potential of RNA alternative splicing and the power of the AI algorithms that constitute the SpliceCore platform. Case studies and experimental validations will be presented highlighting SpliceCore’s ability to identify novel therapeutic targets for the development of the next generation of highly efficacious and safe precision therapies.
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FAIR-ification of data is an established goal in many industries, but managing the changes needed at the user level can be a challenge. Often, FAIR-enabling changes are made at the beginning of the pipeline, but the employees who benefit are at the end of it. What should you do to get everyone on board?