Single cell analysis of immunotherapy resistance pathways in the context of the CURIE Knowledge Graph

Greetings! This week in our technology section of the blog we are covering the Data4Cure Single-cell RNA-seq Analysis App – part of the Biomedical Intelligence Cloud App Engine. We will focus on analysis of two recently published single-cell datasets looking at identifying biomarkers for immunotherapy response/resistance:  Jerby-Arnon et al., Cell, 2018 and Sade-Feldman et al., Cell, 2018.…
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Knowledge graph surpassing 1 billion biomedical relations and a new Data Resources framework

Greetings and Happy New Year! We are happy to report that the Data4Cure Biomedical Intelligence® Cloud and CURIETM Knowledge Graph are once again significantly expanding to help with a yet broader set of tasks in pharmaceutical R&D. With the updates this month, the CURIE Knowledge Graph is reaching 1 billion data-driven and literature-mined relations. And, we are introducing a new way to semantically organize and keep track of…
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Focus on nonalcoholic fatty liver disease and steatohepatitis pathways: data resources and analyses on the platform

A few weeks ago we wrote about the extensive updates to the CURIE Knowledge Graph (reaching 1 billion data-driven and literature-mined relations) and a new Data Resources framework integrating and semantically indexing thousands of biomedical datasets within the Data4Cure Biomedical Intelligence® Cloud platform. To demonstrate the power and utility of the new datasets and tools on the platform,…
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Focus on inflammatory bowel disease pathways: data resources and analyses on the platform

A few weeks ago we wrote about the extensive updates to the CURIE Knowledge Graph (reaching 1 billion data-driven and literature-mined relations) and a new Data Resources framework in DataHub for semantic integration and indexing of thousands of datasets. To demonstrate the power and utility of the new datasets and tools on the platform, this week…
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Data4Cure @ PMWC 2018: Combining systems biology, machine learning and tumor evolution to improve biomarkers for IO

A key challenge in the field of immunotherapy is predicting which patients will respond to IO therapy either as a single agent or in combination with other treatments. Clinical and experimental strategies involve testing expression of individual markers or gene panels, assessing tumor mutation burden and MSI status, and more recently, approaches examining specific tumor…
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