Sentence examples for potentially update from inspiring English sources

"We review and potentially update our model each season," she said.

For the recommendation sample, we retrieved 18 (26.1 %) key references; these references potentially update 10 (40%%) recommendations [Table  3, Additional file 2].

BioDEAL will record these annotations in a structured (XML) format so that other databases, such as GenBank or UniProt, may parse this information and potentially update its "Related Articles in PubMed" field for this gene page with the PubMed ID.

Negotiated learner models allow the content of the learner model to be discussed and potentially updated according to the discussion outcomes.

Owing to the fact that there has been an increasing number of recent studies showing the importance of prevention in patients with hypertension, 13 15 our review will determine the current evidence of the effects of educational interventions to improve control of blood pressure in patients with hypertension, potentially updating the recommendation for clinical practice.

And be sure to refresh (and potentially help update) our guide to arguments against net neutrality.

Although a significant number of genes could potentially be updated at SGD, applying CvManGO alone may not be the most efficient method for SGD to use in prioritizing genes for curation.

Beyond working through a mess of licensing and somehow ensuring that they're not shining a spotlight on vulnerabilities in existing (and potentially difficult to update) handsets, they're starting to run low on people whose job it is to keep their developer pack intact.

The second category of test holds the most promise because of its comprehensive nature, but suffers from its relatively high cost and the need to catalogue and update potentially large numbers of variants of unknown significance.

My startup's Twitter following of 11.3k is small change in the face of @NYTimes' 8.6 million, so I have a much smaller opportunity cost of posting a potentially inaccurate update.

This article studies iterative learning control (ILC) where multiple heterogeneous linear subsystems (with potentially different individual dynamics) update their input simultaneously based on the error in a collaboratively controlled desired output.