We resolve these limitations by using physics-based molecular dynamics simulations to determine more accurate frequencies of rotameric states.
To resolve these limitations, further clinical studies are needed to investigate the different effects of HFNC flow in different patient conditions.
In this paper, by leveraging the advantages of cloud computing, we propose an approach of building cloud-based AVM systems, which can effectively resolve these limitations.
The concept of evolutionary entropy provides a framework that is stochastic in its foundation for resolving these limitations.
There have been several efforts to resolve these limitations.
The development of national databases and well-defined multicentre studies are needed to resolve these limitations.
Future studies with a larger sample size and more intricate study design may help resolve these limitations.
A large randomised controlled trial with specifically allocated research assistance and additional adherence measures may resolve these limitations; however, further intervention development is needed.
Hybrid scores, which are designed based on similarity-weighted docking scores, can resolve these limitations only when the test compound has high similarity to the cocrystallized ligand.
