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We note the high prevalence of lung cancer in mixed population men but such data need corroboration.
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Such data need not be tied to an individual to be useful as a research tool.
New approaches and quantitative data are needed to elucidate the composition and architecture of biofilms, and such data need to be correlated with mechanical and physicochemical properties that relate to function.
Such data need to be added later.
The advantage of the method used here is that such data need not be specific.
Such data need to include findings from laboratory tests of thyroid hormone status and be representative of all children with CH, not just those managed by pediatric endocrinologists.
It is therefore possible that the use of a single allele for antibody measurement, especially in infants/young children or individuals with limited parasite exposure, may under-estimate antibody levels and such data need to be interpreted cautiously.
If it is judged useful or necessary to produce more valid inferences, the moral costs involved in obtaining such data need to be considered in relation to the moral benefits that the data may produce, which are in turn contingent upon the scientific and social value of the research.
Of course, a company scrutinizing such data needs strong safeguards to protect employee privacy; nobody wants the feeling that Big Brother is watching his every move.
Pharmacokinetic data for antimicrobial drugs used to treat anthrax are limited and almost no pharmacokinetic data for CNS are available, but such data are needed for dosing recommendations.
High Veracity of data in Health Informatics, as in any field using analytics, is a concern when working with possibly noisy, incomplete, or erroneous data (as could be seen from faulty clinical sensors, gene microarrays, or from patient information stored in databases) where such data needs to be properly evaluated and dealt with.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com