Sentence examples for relevance for monitoring from inspiring English sources

Exact(4)

However, many of these products will significantly enhance their relevance for monitoring the present space weather when provided in timely manner.

The comprehension of how blood flow and oxygenation change in the early phase has a high clinical relevance for monitoring the transient kidney injury during the course of administration of ionic iodinated contrast agent and evaluating the possibility and extent of induced permanent damage in kidney function.

The kind of genetic and phenotypic data to be collected will have to be chosen in each program according to their relevance for monitoring and scientific investigation.

Moreover, we newly identified LOH at D10S1765 and D6S1581 as novel blood-based biomarkers for tumor cell spread to the BM and prognosis, respectively, which might be of clinical relevance for monitoring studies.

Similar(56)

This paper does not aim at discussing the role of high-resolution lithospheric field models for regional and global geological investigations, but it highlights their relevance for reliably monitoring ionospheric currents at satellite altitudes.

However, this visual information may be augmented when it also has personal relevance, for example, monitoring energy use in one's own home.

Further prospective studies are necessary to confirm the potential application of these hormones and to ascertain their relevance as a parameter for monitoring the development of CACS and the progression of cancer disease.

Nonetheless, hospital episode statistics will require other refinements to improve the relevance of caesarean section figures for monitoring quality of care.

This observation is of high clinical relevance as it opens up challenging new possibilities for monitoring disease activity and therapeutic efficacy in chronic HCV infection.

This may be of particular relevance in cancer patients in view of need for planning tailored therapy and for monitoring response to treatment [ 5, 6].

Kinetic modelling of F-FLT brain PET data using image-derived input functions extracted from human brain PET data with the practical procedure described here provides information about the proliferative activity of brain tumours which might have clinical relevance especially for monitoring of therapy response in future clinical trials.

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