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These biomedical terms can be treated as context terms of the interactions.
For example, a closeness matrix between two sets of biomedical terms can be generated by using UMLS knowledge discovery methods such as kDLS [ 7].
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This task is made easier when terms in ontologies are widely used, and several biomedical ontologies have been evaluated based on how well their terms can be recognized in scientific literature [ 39].
Sure, second terms can be dicey propositions.
(Financing terms can be arranged with NASA).
Terms can be improved for new migrants.
The Biomedical Bubble can be download from Nesta's website.
Such data would be necessary for reliable SPECT measurements before a biomedical question can be addressed.
The learned embeddings of words and biomedical articles can be downloaded from http://gucasir.org/CDS.tgz.
XML can handle the character sets and encodings in which biomedical text can be found.
By generating siblings on-the-fly, the results are always up-to-date and seed terms do not have to be biomedical terminology, but can be from any domain.
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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