Featured Case Study
Accelerating the translation of whole genome sequencing to clinical practice
Understanding the causal basis of rare diseases requires tools that can enable finding rare variants in large populations, and de novo mutations in trios to complement Mendelian analysis. Identification of high value genetic abnormalities is impeded by current, inefficient tools for extracting data from hundreds to thousands of files with complex and variable file formats. This article relates how a sequencing instrument company sped up analyses ten-fold using a scientific database management system, accelerating the translation of whole genome sequencing to clinical practice.
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Featured Article
Maximizing the value of data from medical devices
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 offers 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
Industrialize Safety and Efficacy Biomarker Discovery
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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