Sentence examples for support aimed at identifying from inspiring English sources

The article by Yang et al. [ 12] is an extensive analysis of the coding and noncoding transcriptome in nonfailing human LV and in failing human LV before/after LVAD support, aimed at identifying an RNA signature that is sensitive to hemodynamic loading conditions as well as capable of discriminating the specific HF etiology.

UrgIndex will be integrated in an automatic clinical decision support system aimed at identifying patients who pose an epidemic risk.

There would appear to be considerable evidence to support projects aimed at identifying genes, other than BRCA1 and BRCA2, that are involved in susceptibility to breast cancer.

She's the first physician at Jemez to participate on a family-support team aimed at identifying and helping children with learning and behavioral problems.

This paper draws on a narrative review of the literature, commissioned to support the Health Visitor Implementation Plan, and aimed at identifying messages about the knowledge, skills, and abilities needed by health visitors to work within the current system of health care provision.

"The HNS, its national team players and members of the technical staff support all Uefa activities aimed at identifying individuals whose behaviour damages the reputation of the competition, no matter which country they come from".

This replication and the re-definition of these genetic effects in the independent population analyzed here provide support for investing future research efforts aimed at identifying the corresponding causal allelic variants.

To this end the City Council has been working on initiatives aimed at identifying and supporting emerging sectors and helping those that already exist grow.

A new genetic testing service is opening at Belfast City Hospital aimed at identifying and supporting those at risk of heart problems.

This situation has now changed, and the availability of very tight chromosomally linked molecular markers (e.g. Mago et al. 2011a; Herrera-Foessel et al. 2012) makes extensive pyramiding a practical reality providing that breeding programmes are supported with basic germplasm enhancement activities aimed at identifying and developing such markers for effective R genes.

Most of the existing tumor classification approaches are based on supervised learning, such as support vector machines or decision trees, which aimed at identifying genetic features to distinguish two or more known tumor (sub- types [ 49, 50].