Sentence examples for predictions in future from inspiring English sources

This work, however, ultimately provides the foundation for the integration of diffusion simulations and predictions in future Mg alloy design.

We hope to test these predictions in future work.

These basic quantitative predictions about adaptive behaviour in one-shot decisions can now be explored retrospectively with respect to previous findings, and offer a platform for testing our model predictions in future decision-making experiments [18], [19] when used in combination with the model extensions we present below.

Such a significant order found in this study may be applied to filter false positive predictions in future CRM predictions.

Understanding the unexplained sources of variation within our data sets could lead to improved predictions in future studies.

Our work is entirely theoretical, but we expect that it will be possible to experimentally verify our predictions in future work.

This is a testable prediction in future experiments.

Bootstrap validation indicated that overfitting by the regression model was minimal (2.3%), suggesting excellent robustness of prediction in future patients.

Here, we offer a new approach that enhances ChIP-seq data analysis and allows the identification of multiple SUMOylated TF binding sites simultaneously, which can then be utilized for other functional PTM binding site prediction in future.

Improvement in the accuracy of prediction in future prospective studies will require careful consideration not only of factors related to underling pulmonary and nonpulmonary organ dysfunction but also of the characteristics of individual practices, patient preferences, premorbid functional status, and, possibly, biomarkers of lung injury and systemic inflammation.

Furthermore, a multivariable Cox regression model including molecular subgrouping together with age at diagnosis, M-stage, residual disease, histopathological subtype, and MYC status only selected molecular subgrouping and M-stage for the final model indicating that subgrouping will be an important asset for EFS prediction in future studies (Table  4).