Sentence examples for bridging of data from inspiring English sources

This was accomplished because: Data from studies of PR treatment alone 7 showed that: PR responsiveness was similar between the first and subsequent treatment courses (allowing bridging of data between treatment-naïve and PR-experienced patients in boceprevir trials).

6 Data from studies of PR treatment alone 7 showed that: PR responsiveness was similar between the first and subsequent treatment courses (allowing bridging of data between treatment-naïve and PR-experienced patients in boceprevir trials).

Model-based bridging of data from different sources can be used to expand the indication statement to other population subtypes, allowing appropriate use in those with a large unmet medical need.

These concepts are illustrated in three innovative case studies, in which pharmacometrics has been used to understand phase III failures, expand indication statement through bridging of data, and balance the needs of patients with the needs for information on dose response.

That is because the HC acts as a real-time data relaying function or bridge of data packets destined to the MN when the MN is in the overlap area.

With IMS, early discovery of problems by field monitoring, simultaneous monitoring of multiple bridges, data use for other purposes than bridge management, guarantee of data uniformity, and reduction of inspection and other maintenance work also become possible.

In cases where granule cells could be observed forming a bridge between folia VIII and IX, we observed 5HTT-labeled axons that appeared to span this bridge of cells (data not shown).

To bridge this canyon of data, Martin and his team are turning to drones.

With a focus on engineering problems the aim is to bridge the imprecision of data to the decision making process.

Okay, first… Facebook has gone all-in on the actual software function and attempted to provide a fully packaged answer that bridges divergent elements of data and - crucially - it appears to have done so in order to provide hard-core user functionality.

Instead, translators play a critical role in bridging the technical expertise of data engineers and data scientists with the operational expertise of marketing, supply chain, manufacturing, risk, and other frontline managers.