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Even though pharmacokinetic data is critical in making decisions regarding particle size, coating, synthesis procedures, and purification methods these studies are often conducted in the late stages of nanoparticle development due to these roadblocks.
Using complex statistical methods, these studies show promise for describing community patterns of health care use and associated outcomes.
By comparing the prediction efficient of ANN model and standard regression methods, these studies all conluded that ANN model is superior to standard regression methods [ 13].
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Confirmation, where the results of two methods converge, was rarely the purpose of mixing methods in these studies (Table 7).
SDCC model outperformed the other methods in these studies.
Indeed, the key point is that starting from different sets of data and even applying different methods, all these studies come to same results.
Detailed laboratory methods for these studies have been previously reported [24], [25], [26].
The methods of these studies have been previously published and are summarized here only briefly.
Here we report on the objectives and methods of these studies.
13 Despite the different methods employed, these studies have highlighted some useful findings.
Methods: For these studies we used a keratinocyte cell model (HaCat) and a lung cell model (A549).
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