Sentence examples for sound validation from inspiring English sources

Before nonanimal toxicity tests may be officially accepted by regulatory agencies, it is generally agreed that the validity of the new methods must be demonstrated in an independent, scientifically sound validation program.

OpenTox provides scientifically sound validation routines for the determination of these measures.

However, disappointingly few biomarkers were approved for the detection of unrecognized disease, and even approved markers may lack a sound validation phase.

This paper is one attempt to achieve sound validation for four different methods of prediction, one of which is finite-element analysis.

All these inputs allowed having sound validation for the information architecture recommendations, and most of the recommendations could be backed up by research.

In the present work, a further, more sound validation of the new model and simulation code is accomplished to govern two-dimensional systems.

Initial OpenTox research has provided tools for the integration of data, for the generation and validation of (Q SAR models for toxic effects, libraries for the development and integration of (Q SAR algorithms, and scientifically-sound validation routines.

Sound statistical validation is important to evaluate and compare the overall performance of (Q SAR models.

This is based on sound biological validation of the fact that specificity of binding sites and CRM 'architecture's, are pervasive in regulatory regions (Davidson, 2001).

With the aim to develop a sound DIA validation and calibration methodology, we designed our experiment to test and improve the accuracy of Ki67 LI estimation by automated DIA on preselected tissue microarray (TMA) Ki67 IHC images, with the ground truth obtained by counting tumour cell profiles using a stereology test grid of systematically sampled frames.

Data from an RCT and availability of specimens from a large number of patients are both essential for a sound retrospective validation, as otherwise it is impossible to isolate any causal effect of the marker on therapeutic efficacy from the multitude of other factors arising from a non-randomized design and/or selected samples [ 24, 25].