Sentence examples for identify ad from inspiring English sources

Since S100A7 content is elevated in the CSF of AD dementia cases compared to neurological control cases, and these elevated S100A7 levels in the CSF selectively identify AD clinical severity, S100A7 could be a biomarker that quickly diagnoses AD before clinical signs have developed, allowing for early symptomatic treatment and the ability to chart the course of the disease accurately.

7, 19 Likewise, the finding that the methods' sensitivities were similar confirms the widely held but not previously tested belief that CSF A β42 and PET A β have similar capability to identify AD patients, both at dementia stage and at the early clinical stage, in MCI patients who later convert to AD.

It would be able to identify AD at a very early stage of the disease, before the cognitive symptoms are found in neuropsychologic tests, and before brain-imaging studies could reveal degeneration.

This was done to identify ad hoc decisions, that is immediately made decisions.

Together, these biomarkers identify AD and predict AD in mild cognitive impairment (MCI) with a sensitivity and specificity of 75%to95%5% [ 3].

We previously developed serum metabolomic profiles assessed by HPLC-separations coupled with coulometric array detection that can accurately identify ad libitum fed and caloric-restricted rats.

Asked how it will identify ads as foreign she added: "We base it on signals from the person, ad account, and Page".

The company worked tirelessly with law enforcement agencies to identify ads that exploited children, he said.

Craigslist's chief executive, Jim Buckmaster, said it worked tirelessly with law enforcement agencies to identify ads that exploited children, manually reviewed every adult service ad before posting and required phone verification by the person placing it.

The Times claims that Facebook's site changes will make it much more difficult for ad-blocking tools to identify ads, and that re-blocking them after they've been re-served would require a resource-intensive analysis of the ads themselves.

Facebook also says it will be using machine learning technology to help it identify ads that "should no longer be running".