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Although the standard practice of xenografting tumors into immunocompromised mice generates reproducible tumors, drug testing in these models has low predictive power when compared to the clinical responses in Phase II trials.
In summary, the multiple low-dose STZ mouse model exhibits a similar bone phenotype to spontaneous models, has low toxicity, and serves as a useful tool for examining mechanisms of T1 diabetic bone loss.
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All of our models had low explanatory power.
Band wheel prototype models have low rolling resistance and a good load capacity.
Although these models have low complexity levels and produce satisfactory performances in controlled backgrounds, it is difficult to use them for dynamic scenes.
However, these models had low overall R values (12 22%) indicating a poor model fit.
The LR models had low optimism when the number of events per variable was at least 20 to 50.
We found that all models had low CVs when the hip was scanned in the same position.
Hosmer and Lemeshow tests were performed to evaluate the model fitting for all logistic regressions, all models had low chi-square values and p values for all the models were > 0.05.
When all five study areas were combined (ALL), there was one significant model for each of the three chlorophyll sample types; however, the CHLCG and CHLFG models had low r value and therefore are of limited use.
In the diabetic subgroup, all prediction models had low discriminatory ability for estimating the risk of first CHD event, whereas SCORE and UKPDS had moderate ability to identify individuals with a high risk for a fatal CHD event.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com