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to address the “missing heritability” problem. We designed regression models, which included PGS using 27

countries using jaw models and simulators. The ongoing development and assimilation of practical skills

be used as a cell model of a living organism, as a biosensor or for molecular imaging to study the issues

, and the available diagnostic equipment. The interaction of real participants in the process can be modeled

models of jaws

for several temperature regimes. The validation of the realized model is confirmed by comparing the numerical

СПОСОБ МОДЕЛИРОВАНИЯ РЕЦЕССИИ ДЕСНЫMETHOD FOR MODELING GUM RECESSION

ability of the model containing polygenic scores for the variants associated with T2D in our dataset

classification model based on the logistic regression method has been proposed and developed. The developed

Machine Learning Methods and Models for Recognizing Lung Inhomogeneity from Computed Tomography

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