Значения термина predict which patients на английском

These associations may help predict which patients may benefit most from immunotherapeutic approaches.

Clinical variables cannot predict which patients require SQ leads.

Despite the excitement surrounding immunotherapy, it is currently not possible to predict which patients will respond.

There is a need for molecular biomarkers to predict which patients will respond to bladder preservation therapy.

Currently, there are no clinically implemented biomarkers to predict which patients might be at increased risk for TIPN.

We attempted to identify imaging and biochemical parameters which would help to predict which patients have infected gallbladders.

Practically, surgeons need to depend on imaging to predict which patients will have a chance for conservation salvage laryngectomy.

The presence of clinically positive lymph nodes before chemotherapy did not predict which patients would have a subsequent FN SLND.

But what if you could predict which patients would show up and which ones wouldn't, based on their past behavior?

The International NHL Prognostic Factors Project has derived a model that helps predict which patients with KLCL will have a poor outcome.

Conclusion: Our model may predict which patients require placement of a hydrogel spacer before stereotactic body radiation therapy to meet predefined dose constraints.

The test, which helps to predict which patients are likely to benefit from chemotherapy, was developed by Almac's diagnostics business unit, based in Craigavon.

Conclusion Prospectively collected head and neck cancer databases can be used to develop predictive models that can accurately predict which patients will be readmitted.

It is not possible to predict which patients are at a risk of plasma concentrations below the target level based on patient- or medication-related factors.

Further evaluation of the genetic risk score is needed to determine whether it can predict which patients with LDS are most likely to develop IBD.

The ability to predict which patients might be at increased risk prior to exposure would be valuable to optimally counsel risk-to-benefit ratio for each patient.