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Genetically engineered mouse models have contributed extensively to the field of cancer research.
Different structuration theory (ST) models have contributed to understand this phenomenon.
Computer simulations of polymer models have contributed strongly to our understanding of the glass transition in polymer melts.
However, some genes identified in animal models have contributed to an improved understanding of complex human behavioral disorders such as reading disability, hyperactivity, autism, and dementia.
Preclinical xenograft models have contributed to advancing our understanding of the molecular basis of prostate cancer and to the development of targeted therapy.
We then assess how a decade's worth of constrained mixture models have contributed to a lucid, emerging picture of G&R mechanisms.
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Both statistical and numerical forecast models had contributed to the improving forecasts, with numerical forecast models taking the lead since the 1990s.
A little later, looking back at Facebook's different tests with advertising, faberNovel makes a good argument for how a lack of success with more traditional models has contributed to it being such an innovative company.
Studying the function of this highly conserved transcription factor in animal models has contributed to understanding its molecular function.
The generation of Nf2-mutant mouse models has contributed important information regarding Merlin function in development and tumourigenesis.
Despite considerable medical and economic burdens, delirium is poorly understood, and a lack of animal models has contributed to this.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com