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The bioindicator concept and other new molecular biology developments to predict the process performance are presented in the following 'Microbial bioindicators and early warning systems' section.
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Model development to predict toxicity of organophosphate insecticides in different matrices was carried out using multiple linear regression.
More tumor tests are under development to predict the risk of the spread of colon cancer, lung cancer and prostate cancer.
Model development to predict the toxicity of sulphonylurea and phenylurea herbicides in different matrices was carried out using multiple-linear regression.
SBVS is cheaper and faster than HTS and it can be used in the early stages of drug development to predict if a chemical is likely to interact with certain targets.
In vitro models for testing simultaneously LBF digestion and drug dispersion are in development to predict drug solubilization and bioavailability, select the best drug-LBF association and obtain better in vitro-in vivo correlations.
Estimates are valuable in negotiating offsets because average rates of lek loss and declines in birds at remaining leks can be applied to any ongoing or newly proposed development to predict anticipated impacts.
Serologic screening takes advantage of the above-described features of preclinical tumour development to predict NPC.
In this section, I evaluate the ability of mouse H3K4me1 and H3K27ac data from different stages of heart development to predict validated mouse heart enhancers at E11.5.
More importantly, modern and effective R&D strategies in biomedicine development to predict and evaluate efficacy and/or safety of 21st century therapeutics are urgently needed.
Therefore, it has always been an important issue in drug development to predict the degree of DDIs based on the preclinical data.
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