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Small Talks about Big Data: Predicting Health Events from EHRs Using Machine Learning Small Talk Video

Curious about how Big Data is being used to transform Science and Medicine? Then the Small Talks about Big Data Series is for you! Join Dr. David Page as he discusses how the medical records electronically recorded by medical clinics and hospitals can be used to predict and ultimately prescribe preventative treatments for various medical disorders or to predict the accurate therapeutic dose of a medication.

CPCP Seminar: Towards Demystifying Big Data Technologies Seminar Video

Dr. Jignesh Patel gives a broad overview of emerging technologies related to Big Data. This seminar points researchers toward tools with the potential to improve their Big data work flows. Describing the various steps required in the data flow of Big Data analytics, Dr. Patel lists commercial and open source tools that can be used at each step.

When is an Algorithm a Medical Device? Regulatory Issues in the Era of Computation in Biology (Part 1) Symposium Video

This symposium provided information on the current and potential regulatory framework for medical software development, guidelines for identifying when software becomes a medical device, and guidance on how to integrate the required practices into biomedical research. As computation gains importance in medicine, characterized as the “Big Data” revolution, genomic or other data are gathered and analyzed via computational algorithms. The output of those algorithms can be used to guide therapy. Is this different from the example given above? It is possible a faulty algorithm will yield inaccurate or harmful therapies being given? Hence the question, “When is an algorithm a medical device?” Featuring David DeMets, PhD, David Page, PhD, Seth Mailhot, JD

When is an Algorithm a Medical Device? Regulatory Issues in the Era of Computation in Biology (Part 2) Symposium Video

This symposium provided information on the current and potential regulatory framework for medical software development, guidelines for identifying when software becomes a medical device, and guidance on how to integrate the required practices into biomedical research. As computation gains importance in medicine, characterized as the “Big Data” revolution, genomic or other data are gathered and analyzed via computational algorithms. The output of those algorithms can be used to guide therapy. Is this different from the example given above? It is possible a faulty algorithm will yield inaccurate or harmful therapies being given? Hence the question, “When is an algorithm a medical device?” Featuring David DeMets, PhD, David Page, PhD, Seth Mailhot, JD, Thomas "Rock" Mackie, PhD, Pilar Ossorio, PhD

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