Sentence examples for future to optimize from inspiring English sources

Clinical resistance to therapy is arguably the biggest challenge facing oncologists treating BRAF-V600 mutant melanoma, and further insight into the molecular basis for resistance will likely change the way that vemurafenib is used in the clinic in future to optimize treatment outcomes.

Although the focus of the WMDA is on the health and welfare of the volunteer unrelated donor, the information is also pertinent and beneficial to the related donor, and efforts to disseminate information gleaned from the international unrelated experience will continue to be important in the future to optimize donor care in the allogeneic transplant setting.

It is concluded that future tests to optimize these connection systems are warranted.

Preliminary filtration tests are presented as well as future perspectives to optimize the membrane modification procedure.

Here, we review these and other recent developments that are paving the way for future efforts to optimize the clinical utility of pathway-targeted cancer drug therapies.

This chapter presents some current and future options to optimize refrigeration system operation in the food industry during chilling, freezing, and storage.

Furthermore, future studies to optimize the applications of JDs in drug delivery sciences and biomedical field to realize their potential to treat various disease conditions are identified and highlighted.

For the future studies to optimize SPECT acquisition balancing image quality versus time, we await that list mode data becomes available on modern SPECT systems enabling the user to parse the data and create acquisitions with any proportion of counts from the full-time dataset, with no extra scans needed for the patient.

The results of this systematic review can be used to inform future research to optimize the entry criteria and outcome measures for pain conditions occurring in the lower abdomen and pelvis, to increase transparency in reporting to allow for proper interpretation of RCT results for clinical and policy applications, and to facilitate the aggregation of data in meta-analyses.

These issues raise opportunities for future research to optimize the algorithm presented here.

Furthermore, consideration is given to current and future strategies to optimize influenza vaccine effectiveness in this higher-risk population.