In this process, the integration of toxicogenomics data from different models is pivotal to validate deregulated patterns, to challenge the low signal to noise ratio and to predict potential risks for human health [ 23, 24].
This was done to explore non-random association between environmental characteristics and known epidemic areas and the entire study area, and to predict potential risks based on the basic ecological demands of HFRS.
The integrated exposure uptake biokinetic (IEUBK) model, recommended for use by the U.S. Environmental Protection Agency at residential Superfund sites to predict potential risks to children from lead exposure and to establish lead remediation levels, requires an interindividual geometric standard deviation (GSDi) as an essential input parameter.
Weight gain or BMI increase cut-offs at 1, 2, 3, or 4 weeks can be used to predict potential patient risk for substantial weight gain or BMI increase during long-term treatment with olanzapine.
However, as the most widely used protocols for biosafety evaluation of medical devices, current ISO 10993 standards should be carefully reevaluated when directly applying them to predict potential health risks of degradable Mg based biomaterials via cytotoxicity tests due to the huge gap between in vitro and in vivo conditions.
Unfortunately, "dismissing animal carcinogenicity findings would lead to human cancer cases as the only means of demonstrating carcinogenicity of environmental agents" [ 1]. "The experimental approach to carcinogenicity can ascertain and predict potential cancer risks to humans in time for primary prevention to be successful.
Recently, three groups have applied informatics methods to predict potential regulatory variants within risk loci from specific GWAS of asthma, breast cancer and blood traits [ 9, 10, 18].
As predicted by the cross-species modeling and the flux of formaldehyde into the nasal mucosa leading to the formation of DNA-protein cross-links (DPX), in conjunction with the extensive rodent and primate data on cyto-lethality/regenerative cellular proliferation (CRCP), the model was used to predict potential upper respiratory tract cancer risks in humans.
Since 99mTc-HYNIC-TOC diagnostic studies provide information about this radiotracer uptake and biodistribution, evaluation of its uptake in organs at risk (OAR) can predict potential toxicities.
