engida sado abdulsamad (6 risultati)

Paperback. Condizione: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.

Taschenbuch. Condizione: Neu. Mathematical Modeling Application to Breast Cancer Cell Dynamics | Abdulsamad Engida Sado | Taschenbuch | 84 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200228031 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The author constructs the mathematical model by considering that the linear cancer network technique describes the growth of estrogen receptor-positive breast cancers. The validity of the Models was to verify the simulation study and mathematical analysis. It is verified that hormone therapy is a technique to treat endocrine receptor-positive breast cancers. Hormone therapy is considered as a treatment and used to block the estrogen receptors from cancer and healthy cells. Important observations are made from the simulation study and physical interpretations are drawn and presented lucidly in the book. According to the simulation study, the increasing amount of estrogen in the body is developing cancer and reducing the amount of estrogen is to decrease the number of cancer cells in the breast cancer patient. The model is used to describe breast cancer cell growth effectively to control the cancer cell growth with a short period of time is selected from the behavior of the simulation study. 84 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Engida Sado AbdulsamadAbdulsamad E. Sado, MSc studied Mathematical and statistical Modeling at Hawassa University. Lecturer at Bule Hora University, Oromia, Ethiopia.The author constructs the mathematical model by considering tha.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The author constructs the mathematical model by considering that the linear cancer network technique describes the growth of estrogen receptor-positive breast cancers. The validity of the Models was to verify the simulation study and mathematical analysis. It is verified that hormone therapy is a technique to treat endocrine receptor-positive breast cancers. Hormone therapy is considered as a treatment and used to block the estrogen receptors from cancer and healthy cells. Important observations are made from the simulation study and physical interpretations are drawn and presented lucidly in the book. According to the simulation study, the increasing amount of estrogen in the body is developing cancer and reducing the amount of estrogen is to decrease the number of cancer cells in the breast cancer patient. The model is used to describe breast cancer cell growth effectively to control the cancer cell growth with a short period of time is selected from the behavior of the simulation study.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The author constructs the mathematical model by considering that the linear cancer network technique describes the growth of estrogen receptor-positive breast cancers. The validity of the Models was to verify the simulation study and mathematical analysis. It is verified that hormone therapy is a technique to treat endocrine receptor-positive breast cancers. Hormone therapy is considered as a treatment and used to block the estrogen receptors from cancer and healthy cells. Important observations are made from the simulation study and physical interpretations are drawn and presented lucidly in the book. According to the simulation study, the increasing amount of estrogen in the body is developing cancer and reducing the amount of estrogen is to decrease the number of cancer cells in the breast cancer patient. The model is used to describe breast cancer cell growth effectively to control the cancer cell growth with a short period of time is selected from the behavior of the simulation study.