Featured White Paper
Turning Big Data Into Knowledge
Biological data is flooding the pharmaceutical and medical sectors. Advances in sequencing technology are making it possible to create the world of precision medicine-except for one problem: first generation bioinformatics software tools do not readily allow data to be searchable or sharable, thus precluding easy analysis. By separating data storage from computing too much time is spent moving data instead of analyzing data. What's needed is a new paradigm for scientific data management and analysis.
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Featured Article
How a scientific database management system maximizes the utility and value of biomedical device data
Time series data plays an essential role in safety and efficacy measurements. Data from electrocardiograms, MRIs, and other medical devices provides prima facie evidence of disease states. Deeper understanding of medical device data can give practitioners considerable insight into disease mechanisms and potentially predictive insights. This paper shows how a scientific database management system can enable maximizing the utility and value of biomedical device data.
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For most pharmaceutical companies, submitting clinical study data to the FDA is an expensive and time-consuming process.
In this on-demand webinar, join John Keilty, GM at Third Rock Ventures, and Timothy Danford, CDISC Lead for Tamr, as they discuss overcoming key challenges in preparing clinical trial data for submission to the FDA. Timothy will also offer a demonstration of Tamr and how it provides a scalable, replicable way to automatically convert, validate, and package clinical study data in file formats organized according to the latest CDISC standards.
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Featured Application
How a Scientific Database Management System can facilitate Precision Medicine
Today's biopharmaceutical companies face a critical need to move beyond first generation bioinformatics tools. New scientific information technology solutions can be a discovery engine for precision medicine programs, enabling data-driven hypothesis generation and patient stratification to accelerate the discovery of safety and efficacy biomarkers from molecular, clinical, image, and RWE data. By simplifying the day-to-day challenge of working with multiple lines of evidence, a scientific database management system can support clinical guidance for programs such as precision gemcitabine treatment.
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