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akaturk Akademik ölçüm

OpenAlex konusu

Mathematical Biology Tumor Growth

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 479 eser 13 yazar konusu

Çalışmalar

479 eser

  1. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 100.0%

    In this note, we specify an "individual-based" continuous-time model for swarm aggregation in n-dimensional space and study its stability properties. We show that the individuals (autonomous agents or biological creatures) will form a cohesive swarm in a finite time. Moreover, we obtain an explicit bound on the swarm…

  2. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 97.5%

    Özet henüz yok.

  3. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.0%

    Seventy-five percent of patients with epithelial ovarian cancer present with advanced-stage disease that is extensively disseminated intraperitoneally and prognosticates the poorest outcomes. Primarily metastatic within the abdominal cavity, ovarian carcinomas initially spread to adjacent organs by direct extension an…

  4. OpenAlex üst %1 OpenAlex 99.4%

    In this paper, we apply the q-homotopy analysis transform method to the mathematical model of the cancer chemotherapy effect in the sense of Caputo fractional. We find some new approximate numerical results for different values of parameters of alpha. Then, we present novel simulations for all cases of results conduct…

  5. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.7%

    In this paper, we apply the q-homotopy analysis transform method to the mathematical model of the cancer chemotherapy effect in the sense of Caputo fractional. We find some new approximate numerical results for different values of parameters of alpha. Then, we present novel simulations for all cases of results conduct…

  6. YÖKSİS SJR Q1 JCR Q2 OpenAlex 86.3%

    In this study, we develop a new dynamical model of cancer growth, which includes the interactions between tumour cells, healthy tissue cells, and activated immune system cells, clearly leading to chaotic behavior. We explain the biological relevance of our model and the ways in which it differs from the existing ones.…

  7. YÖKSİS SJR Q2 JCR Q1 OpenAlex 81.0%

    Özet henüz yok.

  8. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.8%

    Özet henüz yok.

  9. OpenAlex üst %10 OpenAlex 98.4%

    Patient-derived in vivo models of human cancer have become a reality, yet their turnaround time is inadequate for clinical applications. Therefore, tailored ex vivo models that faithfully recapitulate in vivo tumour biology are urgently needed. These may especially benefit the management of pancreatic ductal adenocarc…

  10. YÖKSİS SJR Q1 JCR Q1 OpenAlex 88.0%

    Özet henüz yok.

  11. YÖKSİS SJR Q1 JCR Q1 OpenAlex 88.0%

    Özet henüz yok.

  12. YÖKSİS SJR Q3 JCR Q2 OpenAlex üst %10 OpenAlex 97.4%

    In this paper, we study the mathematical model of interaction cancer cells and immune system cells presented Castiglione and Piccoli. As the interaction between cancer cells and the immune system is weak, when the immune system of the body begins to decrease, the cancer cells get stronger and increase rapidly. Helper…

Akademisyenler

13 akademisyen