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The groupings were suggested by expert panels composed of physicians and researchers, and were based on different drug categories and dosages during a one-year period.
We did separate overviews of trials comparing active treatment regimens with placebo, trials comparing more intensive and less intensive blood-pressure-lowering strategies, and trials comparing treatment regimens based on different drug classes.
We aimed to estimate effects of strategies based on different drug classes (angiotensin-converting-enzyme [ACE] inhibitors, calcium antagonists, angiotensin-receptor blockers [ARBs], and diuretics or β blockers) or those targeting different blood pressure goals, on the risks of major cardiovascular events and death.
Three link patterns were identified based on different drug discovery implications for breast, liver, and lung cancer.
Some computational methods have been proposed to integrate various similarities based on different drug properties to build classification models for drug combinations.
In the trials comparing blood pressure lowering regimens based on different drug classes, there were no clear differential effects on major cardiovascular events (fig 4) between groups with different eGFR for any comparison (all P>0.6 for homogeneity).
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Table indicates characteristics of groups based on different antipsychotic drug treatments at time of discharge.
We selected another study, Thompson and Johnson [ 16], based on different chemotherapeutic drugs, different time points, and different tissues, but same gene selection criteria as ours.
As for the other PMTCT programs, our program panel cannot be considered as fully representative of all programs, implemented either within the same countries or elsewhere in sub-Saharan Africa and/or based on different antiretroviral drugs and regimen designs.
Trials were eligible for inclusion in this prospective collaborative meta-analysis if they met one of the following criteria: patients were randomised to a blood pressure lowering drug/regimen or a control group (placebo or less intensive blood pressure lowering regimen) or patients were randomised between regimens based on different classes of drugs to lower blood pressure.
In this paper, we make a survey on the recent progress being made on computational methodologies that have been developed to predict drug targets based on different kinds of omics data and drug property data.
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based on different working
based on different technology
based on different location
based on different adversarial
based on different ventilation
based on different weight
based on local drug
based on different accounting
based on different evidence
based on different learning
based on different equipment
based on different age
based on different criterion
based on different user
based on single drug
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