Sentence examples for most optimal approach from inspiring English sources

Exact(7)

The most optimal approach is using FDG for acute inflammation at first diagnosis of CS or suspicion of recurrence or relapse, because of the impact on the therapeutic management.

However, using a new TLR for each pair of qubits that should be coupled to participate in two-qubit gate operations might not be the most optimal approach to this engineering problem.

It is likely that the most optimal approach to prediction of response to cytotoxic therapy will involve a combination of gene expression data, microRNA profiles, and molecular variables such as ER, HER2, and PR status.

It offers the most optimal approach to cross-cultural comparison of QoL and it is available in many languages [ 23].

Reducing the number of macrophages per se, which has been proposed as a therapeutic strategy, may therefore not constitute the most optimal approach.

To deal with such an ill-defined concept, a focus group discussion among investigators with additional review of potential methodologies was conducted and the most optimal approach was chosen.

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Similar(53)

Cardiovascular computed tomographic angiography (CCTA) and cardiovascular magnetic resonance (CMR) digitalized 3-D patient representation of individual patient anatomy and physiology serves as an avatar allowing for virtual delineation of the most optimal approaches to cardiovascular procedures and surgeries prior to actual hospitalization.

Since the specification we have so far described can be used to reconstitute the molecular graph, we can now venture to study the most optimal approaches to enabling some of the most common tasks in cheminformatics.

Most likely, the optimal approach to diagnostic application may consist in combining methylation at several carefully evaluated individual loci into a single score.

Our results are useful to define the most optimal experimental paired-read approach to support the de novo assembly of mammalian genomes.

Finally, interpreting intermediate risk scores is a challenge common to most predictive models; the optimal approach to surveillance and investigation of these patients is even more uncertain than for those at low or high risk.

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