Sentence examples similar to mathematical modelling suggest from inspiring English sources

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Mathematical modelling suggested it was indeed possible for a virus to develop the three further changes required during the course of an epidemic.

Analysis using mathematical modelling suggests the heterogeneous basis for the inheritance of bipolar disorders [ 36].

Mathematical modelling suggests that individuals with undiagnosed HIV infections contribute disproportionately to HIV transmission [ 27, 28].

Mathematical modelling suggests that earlier diagnosis and treatment of HIV-positive individuals could substantially reduce population incidence [ 12].

Mathematical modelling suggests that t-tubule loss promotes Ca2+i alternans by increasing intracellular spatial heterogeneity of Ca2+ diffusion, and steepening the relationship between SR [Ca2+] and cytoplasmic [Ca2+].

Mathematical modelling suggests that hypoxic microenvironments provide evolutionary pressure, clonally selecting more aggressive neoplastic cells that are able to survive hypoxic stress (Anderson et al, 2006).

Mathematical modelling suggests that routine childhood varicella vaccination will reduce VZV-circulation in nature, which will decrease the number of natural boosters of VZV-immunity in the population.

Mathematical modelling suggests that prioritizing key populations for earlier access to ART, combined with other prevention interventions, may have significant impact on the epidemic, cost-effectively reducing new HIV infections and deaths.

Mathematical modelling suggests that in areas of high HIV incidence with low rates of consistent condom use, even an inconsistently used 40% effective microbicide would avert a substantial number of HIV infections (Vickerman et al., 2006).

Mathematical modelling suggests that the effective perivascular elimination of soluble metabolites and waste products from the brain is fundamentally reliant on the expansile nature of the arterial wall [ 17, 18].

Simulating the full axonal excitability recordings with this model is depicted in Fig. 5. Overall interpretation incorporating mathematical modelling suggested a combination of changes in passive cable properties and axonal ion channel function, with a reduction in fast K+ channels as the most important channel alteration.

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