Multidimensional visualization for the immune system state presentation in breast cancer patients / M. Stakheyeva [et al.]
Уровень набора: (RuTPU)RU\TPU\network\4816, AIP Conference ProceedingsЯзык: английский.Резюме или реферат: The immune system is a complex organization system possessing its hierarchical structure of morphological and functional elements united into an integral unity. Therefore the immune system state should be characterized as an integral unity. The use of the NovoSpark Visualisation approach (Canada) to multidimensional data visualization provides the visual image representing the immune system state as an integral unity. This uniform visual characteristic is formed by values of individual immunological parameters in every person. The curves appropriating the immune system states in breast cancer patients with and without cancer progression (hematogenous metastases) during a 3-year follow-up are located in disjoint areas of the multidimensional data space. The obtained data suggest that the immune system greatly influences the course and outcome of breast cancer. In prospect this approach can be useful for a breast cancer outcome prognosis..Примечания о наличии в документе библиографии/указателя: [References: 11 tit.].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | иммунная система | визуальная характеристика Ресурсы он-лайн:Щелкните здесь для доступа в онлайнTitle screen
[References: 11 tit.]
The immune system is a complex organization system possessing its hierarchical structure of morphological and functional elements united into an integral unity. Therefore the immune system state should be characterized as an integral unity. The use of the NovoSpark Visualisation approach (Canada) to multidimensional data visualization provides the visual image representing the immune system state as an integral unity. This uniform visual characteristic is formed by values of individual immunological parameters in every person. The curves appropriating the immune system states in breast cancer patients with and without cancer progression (hematogenous metastases) during a 3-year follow-up are located in disjoint areas of the multidimensional data space. The obtained data suggest that the immune system greatly influences the course and outcome of breast cancer. In prospect this approach can be useful for a breast cancer outcome prognosis.
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