Sentence examples for useful to predict which from inspiring English sources

Exact(5)

It would thus be useful to predict which tumors will rapidly proliferate during treatment and are likely to benefit from accelerated radiotherapy.

Therefore, the many published reports on pH testing may be seriously underestimating the amount of GER actually occurring, and may not be useful to predict which patients have reflux-triggered or reflux-associated pulmonary disease.

It would be useful to predict which new link could be formed and how it would impact the traffic load.

It would also be useful to predict which patients would benefit most from treatment with denileukin diftitox.

It is important to note that this model is useful to predict which hosts are likely to be susceptible to a particular pest or pathogen, but does not indicate whether the impact of those pests on a given host will be severe or benign.

Similar(55)

Finally, useful models to predict which patients will have a good response to surgical therapy have not been developed.

Although there are known risk factors for hypertensive disorders of pregnancy, there is no clinically useful way to predict which women will develop pre-eclampsia based on clinical data or biochemical markers [ 3].

The two next-fastest computers are used to model nuclear weapons at America's Department of Energy.Supercomputers are also good for modelling the way proteins fold and, it has been thought, should be useful at helping to predict which drugs might work.

The accurate identification of cognitive processes that precede the onset of psychosis will not only be useful for clinicians to predict which young people are at greatest risk for schizophrenia, but will also help determine the neurobiology of psychosis onset, thus leading to new and effective treatments for preventing schizophrenia and other psychoses.

In summary, there is currently no clinically useful screening method to predict which obese individuals will develop metabolic derangements, specially diabetes and cardiovascular disease.

The work proposed here will render a clinically useful screening method to predict which obese individuals will develop metabolic derangements, specially diabetes and cardiovascular disease.

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