Sentence examples for sensitive to predict from inspiring English sources

Exact(6)

CONCLUSIONS: The formula including ADC and Ve values is more sensitive to predict tumor cellularity than the formula including ADC values only.

Although FBA is more sensitive to predict pathway interactions, a few well-studied pathway cross-talks are not detected by FBA, but by PEBA.

However, neither sPINP nor sICTP was sufficiently sensitive to predict the rate of change in BMD for a group of individuals or for an individual.

It is reasoned that an effective accreditation research program will not only identify poor performing areas but will be sufficiently sensitive to predict poor performance and thus help avert clinical or administrative failure.

S100B was sensitive to predict coma and severe brain injury (stroke, postanoxic encephalopathy, and head trauma) but more frequent measurements over a longer period than four days were probably necessary to diagnose delirium, which fluctuated over time [ 38– 40].

On the other hand, if drastic amino acid changes, such as Leu to Asp or Val to Lys, were introduced in the coiled coil, COILCHECK energy differences were quite high (Fig. 6D), suggesting that the method is sensitive to predict the effect of small sequence changes on the stability at the interface.

Similar(54)

Ms. Bell said that because the updated formula is more sensitive to predicting credit risk, people with good credit habits would probably see their scores go up a bit with FICO 8, while people who are riskier might see theirs go down.

In this region, the BHGO UD does not provide probabilities sensitive to predicting outbreak versus non-outbreak locations given the low number of total outbreaks.

So it should not be so surprising that it is not as sensitive to predicting hospitalization.

These results collectively indicate the superior sensitivity of ICG dynamic optical imaging, which is sensitive enough to predict future necrosis of ischemic tissues.

This characteristic image finding is not sensitive enough to predict pulmonary tuberculosis.

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