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The ability of the PCR to distinguish between pathogenic and non-pathogenic Leptospira species may be useful for the testing of environmental samples but this will require further evaluation.
Thus, should the contribution of tumour cell-derived microvessels be confirmed in human NB primary tumours, as our preliminary findings with MYCN amplified NB tumours seem to indicate (Pezzolo et al, unpublished), NB xenografts made up of mixed murine- and tumour-derived endothelial cells may prove useful for the testing of the therapeutic activity of antiangiogenic compounds.
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Sure, they're useful for the test, the immediate future, but when it comes to "real life" we risk being left in the dark, scrambling to teach ourselves all over again.
Hidden treatment (HT) or covert treatment is an option that may be specifically useful for the test of drug effects in acute and highly symptomatic conditions such as with postoperative pain [ 47], anxiety, and motor dysfunction in Parkinson's disease [ 48, 49].
It may be useful for automating the testing and validation of spatial and temporal cluster detection algorithms.
In particular, this is a useful tool for the testing of a model and both direct and indirect effects on a given result (such as mediation and moderation among other relationships), under the basis of multiple regression.
The knock-in mouse model is likely to prove therefore to be a very useful platform for the testing of potential treatments such as pharmacological intervention and viral vector-mediated genetic therapies.
This model has proven useful for the preclinical testing of novel experimental therapies designed to block gluten-induced mucosal pathology [12].
However, it may be useful for the further testing of candidate pro-remyelination compounds that may be translatable into neuroprotective therapeutics for multiple sclerosis in the future [ 74].
Random matrix theory (RMT) is useful for determining the test statistic distribution and the parameter for the class of eigenvalue-based detection methods.
Intuitively, we would expect that that a partner SNP that has "too high" a correlation with the anchor SNP would not be that useful for the AI test, as the anchor SNP is unlikely to provide much extra information for association testing compared to that provided by the partner alone.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com