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By stepwise logistic regression, hematologic malignancies (OR 6.0 [95% CI, 1.1-31.4]), diabetes (OR 2.4 [95% CI, 1.4-4.2]), and enteral nutrition (OR 2.2 [95% CI, 1.4-3.6]), proved to predict the development of Candida presence in medical pts independently.
The potential target genes of a specific miRNA were identified using three common computation programs that are proved to predict the miRNA targets with better accuracy based on proteomic data [ 38]: miRDB (http://mirdb.org/miRDB/; [ 46, 47]), Diana microT v3.0 (http://diana.cslab.ece.ntua.gr/microT/; [ 48, 49]), and TargetScan 5.2 for mouse http://www.targetscan.org/mmu_50/.org/mmu_50/
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Although the increase in carotid IMT in this meta-analysis was much lower than expected in view of the almost doubled CV risk in RA patients [ 33], carotid IMT was proven to predict the development of CV events in RA patients [ 16].
This theoretical model was proved to predict satisfactorily the experimental results.
The tested genetic polymorphisms have proven to predict efficacy successfully over the conventional treatment approach.
Although CAC assessment has been proven to predict subsequent CVD risk in the general population (240) and in cohorts of patients with T2DM (241), no data are yet available that analyze the utility of CAC assessment for risk prediction in T1DM.
Secondly, it was proven to predict several crucial economic outcomes including the employment probability (see for instance Heckman et al. 2006).
For his data, he uses the Health and Retirement Study and self-rated health (proven to predict mortality better than physician evaluations).
The score was validated to predict mortality only and has not been proven to predict other CAP-associated adverse outcomes.
In a recent publication, the multiscale approach has been proved to successfully predict the survival probability of a number of mammalian cancerous and normal cell lines and some related phenomena, for example oxygen enhancement ratio (Verkhovtsev et al. 2016).
Across the country, it is proving hard to predict the cost and the value of power storage to consumers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com