Sentence examples for multiple challenges when from inspiring English sources

While clinic-based studies linked to EMRs offer multiple advantages, they also offer multiple challenges when accessed for research such as genetic association studies.

However, one faces multiple challenges when analyzing clinical gene expression data; most of the well-known theoretical issues such as high dimension of feature spaces versus few examples, noise and missing data apply.

Data warehouses (DW) store large amounts of heterogenous clinical data that can be used to enhance recruitment practices, but multiple challenges exist when using a data warehouse for such activities, due to the manner of collection, management, integration, analysis, and dissemination of the data.

Biomaterials have substantial value in tissue engineering and regenerative medicine, but translating advances in biomaterials science into products with clinical applications involves multiple challenges, which are usually overlooked when proof of concept is the primary goal.

Due to the continuous nature of the Infinium data, in which genotypic scores are expressed as a ratio of signal intensity between the two alleles, the pooling of multiple individuals per RIL created some challenges when scoring loci in regions harboring residual heterozygosity.

A now extensive literature has identified multiple challenges in programme evaluation, dating back to when the field began to develop formally during the 1960s.

Results show the ability of the method to automatically generate stratigraphic correlation scenarios, and also highlight some challenges when sampling stratigraphic uncertainties from multiple wells.

The current Passive Optical Network (PON) has faced many challenges when heterogeneous access techniques and multiple resource multiplexing ways are involved.

When it comes to the multiple challenges of climate change there truly is no more try.

PCPs faced multiple challenges related to the healthcare system, patients and themselves when prescribing for patients with chronic diseases.

Analyses of multiple SNP-SNP interactions are complex and remain computational challenges when huge numbers of genetic factors are simultaneously considered.