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- W2960272890 abstract "Despite the fact that oncology issues are among the most actively studied, the problem of tumor resistance to the therapy remains very relevant at the moment. Currently, there are no validated models while known systems are generally focused on detecting few particular conditions - either to assess the composition of the gaseous medium, humidity and temperature, or to assess the dissolved gases and pH in the flowing nutrient medium of bioreactors, or to assess the content of intracellular oxygen. These systems lack tracking of the dynamic parameters of 3D systems and the ability to operate such systems, including decision-making modules. To validate advanced cellular tumor models, one needs a device that should have advantages over modern commercially available models, this system has to be better in terms of sterile work, autonomy, cost-effectiveness, applicability for experiments and microscopy. Based on several types of physical, chemical and biological sensors, the new generation screening system will allow one to reveal in the foreseeable future additional indicators of the functional activity of tumor cells and dependence on changes in the extracellular matrix, metabolic activity of cells during their growth, migration, transformation and response to therapy on the basis of personalized 3D cellular tumor model." @default.
- W2960272890 created "2019-07-23" @default.
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- W2960272890 date "2018-11-01" @default.
- W2960272890 modified "2023-10-16" @default.
- W2960272890 title "State-of-the-Art and Problems in Development of Automated Screening Systems in Personalized Medicine and Oncology" @default.
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- W2960272890 doi "https://doi.org/10.1109/ent-mipt.2018.00038" @default.
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