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Neonatal death in full-term infants suffering perinatal asphyxia (PA) is a major subject of concern, since to date no clinical, biochemical or biophysical tools exist to predict which patients are at risk of ominous outcome [1].
In colorectal, upper GI and breast cancer, few biomarkers exist to predict which premalignant lesions will progress to invasive cancer.
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Although ion additions clearly affect invertase activity, the results obtained from this study as well as from many previous reports indicate that no clear pattern exists to predict which ion will lead to a dramatic improvement or reduction in invertase activity.
We have developed a method using comparisons in different organisms in which homologs exist, to predict with a high degree of certainty what particular protein interactions found in unfiltered data may occur in vivo and contribute to the activities of, in this case, the ING proteins.
Pancreatic ductal adenocarcinoma (PDAC) remains a highly chemoresistant tumor entity for which no reliable molecular targets exist to predict or influence the success of chemotherapy.
However, many algorithms exist to predict atom mappings.
Many approaches exist to predict the impact of a mutation.
Many tools exist to predict structural variants (SVs), utilizing a variety of algorithms.
Several algorithms exist to predict cis-acting elements, but none have been adapted for maize.
Then, he uses the prediction information in which error exists to predict the system (z 1, z 2, ⋯, z n ); obviously, this is difficult and, at the same time, the error will be magnified.
Moreover, there exists a need for tools to predict which patients will benefit from surgery after an initial response to chemotherapy.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com