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The clinical prediction model is very valuable as it can be applied to a various scenario like screening, prediction, medical decision making and education in health.
The need for a precise and repeatable method for accurately measuring and quantifying the lipoprotein density profile for studies dealing with CVD is necessary for screening, prediction of disease, and possibly monitoring the effectiveness of treatment.
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A big advantage is the availability of large sets of confirmed inactive compounds which enable a thorough validation of virtual screening predictions.
Additionally, the translational capacity of epigenetic biomarker panels may be clinically applicable in screening, diagnosis, prediction of response and prognostication.
A promising approach for early screening and prediction of DDIs is computational modeling.
The three-part sequential processing routine requires: 1) a regressive data-compression preprocessing, 2) a smart-sample generation using general-regression neural networks (GRNN), and 3) a screening power prediction using 'reverse' swarm intelligence (SI).
A study was undertaken aimed at developing a dynamic in vitro method based on the use of artificial membranes for screening and prediction of the absorption properties of drugs.
Further validation is required before the multiplex bead array approach is routinely used for screening, monitoring, prediction and prognosis purposes.
A well-established genetic marker surely would have a profound influence in screening and prediction of urolithiasis.
If this theory proves correct, then it could have profound implications for screening, risk prediction and, ultimately, chemoprevention.
injection of various photosensitizers and fluorescent dyes into the CAM for drug screening and prediction of clinical features.
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