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The phrase "although this may be correct" is correct and usable in written English.
It can be used to introduce a statement that acknowledges a possibility while suggesting that there may be other considerations or implications to take into account.
Example: "Although this may be correct, we should also consider the potential consequences of our actions."
Alternatives: "even if this is accurate" or "while this could be true".
Exact(1)
Although this may be correct, for definitive conclusions much more in-depth research work is needed considering gastric cancer genome and interactions between environmental and genetic factors in Japan and Europe or the USA.
Similar(58)
The number of roosters screened was too small to confirm that prior irradiation of host embryos increased the contribution of donor PGCs to the germline, although the results indicate that this may be correct.
This may be correct, but it is highly misleading.
Although this assumption may be correct in many cases, there are likely to be certain instances when a compound may actually be active.
Although this adjustment may be correct, it is difficult to implement in replicating the Trasande analysis, so it is not included in future discussions.
Although this conclusion may be correct based on these findings, the clinical relevance remains obscure in view of the questionable study design.
Although this interpretation may be correct, and many consider that the perception as opposed to the production of language is left-lateralized (Hickok and Poeppel, 2007), it is a region just inferior to the right temporoparietal junction, at the intersection of the posterior end of the STS with the inferior parietal lobule and the lateral occipital cortex (Fig. 5C).
In this he may be correct.
While this conclusion may be correct, there is always the danger of a disastrous miscalculation.
Frequently, papers don't do as well as they might at review because, although the data may be correct, the claims of the authors have been stretched.
The use of regression models in this context means that comparisons are based on very sparse or model-dependent data; although results from such analyses may be correct, they rely on 'heroic modelling assumptions'.
More suggestions(1)
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com