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Prednisone response, bone marrow morphology at day 33, and MRD were identified to be powerful prognostic factors in our T-ALL patients.
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A slower clearance of leukemia cells was found in T-ALL patients and MRD risk group classified by MRD levels at the end of induction and before consolidation therapy was identified to be the most powerful independent prognostic factor in T-ALL patients [ 32, 33].
Medical professionals have been identified as having the potential to be powerful agents for physical activity promotion [ 35- 43].
Degradome sequencing has shown to be powerful in identifying target genes of miRNAs with greater throughput [ 21, 22, 24, 26].
In our study, proteomics was shown to be powerful tool for identifying potential virulence factors of L. pneumophila.
To date, proteomics analyses have proved to be powerful tools for identifying biological markers and for estimating biological networks [ 15].
As a result, compounds 9h, (S -9i, and 9k with nanomolar enzyme inhibition (IC50=4–9 nM) and 9e (IC50=27 nM) were identified to have powerful in vivo efficacy with extended duration of action.
Therefore, while the gene sets identified were powerful predictors of outcome, they yielded few insights into the biological features driving an aggressive phenotype in ccRCC.
Some of his suggestions (in particular calls for more data and suggestions that are really more about how we treat potentially suicidal people than about how we identify them) are powerful and unobjectionable.
Individually, these biomarkers may not be powerful enough to identify clinically relevant risk groups in this group of patients.
The following predictors were identified to have the most powerful influence on the N concentration in mosses: sampling point (within forests/outside of forests) (level 1), distance to interstate roads and moss species (level 2) and distance to animal housings and distance to highways (level 3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com