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Similarly, additional validation is also needed for tracers with potentially very high first-pass lung retention, such as 11C-PIB in studies of cardiac amyloidosis and some tracers of highly lipophilic drugs.
Longitudinal validation is also needed.
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Furthermore, validation on larger populations is also needed to determine specific threshold values for the different markers – for example, for determining the high-risk population.
An emphasis on the validation of early exposure assessments is also needed.
SR and scientific evaluation of the validation methods of animal models is also needed, so that robust and concordant methods can be developed, and complete and transparent analysis of the predictive value of animal studies should be undertaken without further delay.
To the best of our knowledge, however, only a single preliminary report assessed the performance of this technique, and validation of these results are also needed.
Further model validation and testing on field measurements are also needed.
While the standardisation, quality control and validation of surveillance methods is important, efforts are also needed to stimulate the debate and development of simple procedures for using data and clearly defined surveillance responsibilities.
Intelligent transaction validation is also well underway.
The need for independent validation was also discussed by Dr Andrew Chalmers, lecturer at the University of Bath and founder of CiteAb, a citation based antibody search engine.
Model validation was also performed.
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