Explore SciBite’s full suite of solutions to unlock the potential of your data.
Discover how SciBite’s powerful solutions are supporting scientists and researchers.
Gartner® How to calculate business value and cost for generative AI use cases
Explore expert insights, articles, and thought leadership on scientific data challenges.
Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
Discover how SciBite’s powerful solutions are supporting scientists and researchers.
Gartner® How to calculate business value and cost for generative AI use cases
Explore expert insights, articles, and thought leadership on scientific data challenges.
Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
SciBite / Knowledge Hub / Resources / Overcoming barriers to real world data-driven insights in healthcare [Webinar]
Medical centers are at the forefront of a health data revolution, as each patient’s digital footprint now has the potential to contain many layers of complex multi-modal data that capture an entire journey from diagnosis through treatment. This wealth of data opens an opportunity to better understand disease, develop new therapeutics, and offer personalized treatment to individual patients at an unprecedented pace and scale – but getting the data ready for analysis is a daunting task.
This brief presentation will address key challenges in multi-modal data management and harmonization, including technical considerations for setting up a clinico-omic data platform that is equipped to standardize, structure, and link data from disparate sources. SciBite and DNAnexus will share insights from their combined experience and demonstrate how their respective platforms can enable medical centers to maximize Real World Data-driven insights.
In this session, we discuss the following:
Aligning clinical data to ontologies makes datasets interoperable and supports researchers and healthcare professionals in developing a greater understanding of the relationships between them. Unlock the full potential of your clinical data partners by working with SciBite.
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