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However, the long-term effects of e-cigarettes on liver disease, diabetes, heart disease or stroke are unknown

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More specifically, since the absent end-diastolic flows and its associated S/D ratio are viewed as the a bio-marker for adverse birth outcomes (Dicke et al., in silico model may be made for normal and abnormal blood flow patterns, similar to that performed for UAs (Wilke et al., Figure 1 Such a modeling framework would benefit from the philosophy of systems biology, where the analysis of physiological phenomena need to integrate the data and models from multiple spatial scales, i.e., from the molecular level to cell and organ levels (Hunter and Borg, In summary, a synergy of in vivo clinical observations, in vitro experiments and in silico models is proposed here for revealing the underlying mechanistic mechanisms of fetal CVS risks due to maternal smoking

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