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1.
J Exp Ther Oncol ; 13(1): 77-78, 2019 Jan.
Article in English | MEDLINE | ID: mdl-30658032

ABSTRACT

OBJECTIVE: To control the rate of growth of the cancer cell is the objective of this paper. In cancer, the rate of the growth of the cancer cell is indefinite. This paper proposes a method to transform into definite rate of growth of the cancer cell from indefinite. This indefiniteness lies with the set of unknown elements. This paper finds these unknown elements by matrix method.


Subject(s)
Cell Proliferation , Neoplasms , Humans
2.
J Exp Ther Oncol ; 12(4): 333-334, 2018 Nov.
Article in English | MEDLINE | ID: mdl-30476391

ABSTRACT

OBJECTIVE: Cancer is the disease which exists when the cell is uncontrolled. This paper presents a controller for the same. The cancer cell is reviewed via algebraic structures.


Subject(s)
Neoplasms , Humans
3.
J Exp Ther Oncol ; 12(4): 331-332, 2018 Nov.
Article in English | MEDLINE | ID: mdl-30476390

ABSTRACT

OBJECTIVE: The vaccine of the cancer can be prepared. This paper presents a direction for preparing the vaccine of cancer by algebraic and geometric study of the cancer cell.


Subject(s)
Cancer Vaccines , Neoplasms , Humans
4.
J Exp Ther Oncol ; 12(3): 245-246, 2018 May.
Article in English | MEDLINE | ID: mdl-29790317

ABSTRACT

OBJECTIVE: Cancer is the disease which exists when the cell is uncontrolled. This paper presents a controller for the same. The cancer cell is reviewed via algebraic structures.


Subject(s)
Cell Proliferation , Models, Biological , Neoplasms/pathology , Algorithms , Humans , Kinetics
5.
J Exp Ther Oncol ; 12(3): 247-248, 2018 May.
Article in English | MEDLINE | ID: mdl-29790318

ABSTRACT

OBJECTIVE: The medicine of cancer is directed in this paper. The pie theory is applied for the proposed medicine. The improbability and un-constancy are the major theories, which are used to design this anti-cancer medicine.


Subject(s)
Evidence-Based Medicine/methods , Medical Oncology/methods , Neoplasms/therapy , Humans , Models, Theoretical
6.
J Exp Ther Oncol ; 12(2): 141-142, 2017 Nov.
Article in English | MEDLINE | ID: mdl-29161782

ABSTRACT

OBJECTIVE: Cancer is the disease which exists when the cell is uncontrolled. This paper presents a controller for the same. The cancer cell is reviewed via algebraic structures.


Subject(s)
Neoplasms/pathology , Algorithms , Humans
7.
J Exp Ther Oncol ; 12(2): 167-169, 2017 Nov.
Article in English | MEDLINE | ID: mdl-29161787

ABSTRACT

OBJECTIVE: Curing cancer by controlling the growth of the cancer cell is the objective of this paper. The growth of the cancer cell is analysed by the optimization programming. The algorithm is proposed for minimizing the rate of growth of the cancer cell. Hence the chaotic cancer became structured for the further research. This is an extended work of Warburg [1], where he defined the centre of the cancer cell, known by Warburg effect, but here we control the increasing radius of the cancer circle by the proposed Cancer Control Algorithm.


Subject(s)
Algorithms , Neoplasms/therapy , Humans
8.
J Exp Ther Oncol ; 12(1): 83-85, 2017 May.
Article in English | MEDLINE | ID: mdl-28472569

ABSTRACT

OBJECTIVE: This paper presents a theory and system on "Cancer-Meter'. This idea came through the statement that "cancer is curable if it is measurable". The Cancer-Meter proves that it is possible. This paper proposes the cancer-meter in two ways, theoretical and electronically, as per the measurement and treatment. By the mathematics, first part is defined but the second part is based on computer programming, electrical and electronics. Thus, the cancer-meter is a programmed-electrical-electronic device which measures and cures the cancer both.


Subject(s)
Neoplasms/drug therapy , Neoplasms/therapy , Electronics/methods , Humans , Mathematics/methods , Software
9.
J Exp Ther Oncol ; 7(3): 219-25, 2008.
Article in English | MEDLINE | ID: mdl-19066130

ABSTRACT

In this paper, we present a mathematical direction for curing the cancer disease. To completely destroy the cancer cell is the maximum objective and to completely stop the increasing cancer cell is the minimum objective, these two are the main fundamental reason to the given this result. We observed that, if we scientifically and keen study of the algebraic and geometrical structure of the selected or identified cancer affected region then we find this result and we try to present this idea with the help of the important theorem. We also present this theory with the simplest model, application, experimental and practical approach. This theory is not only represented step by step by the simplest algorithmic techniques but also demonstrated with the artistic and scientific style to understand deeply the beautiful combination of mathematics and biology which is later rapidly accelerated to the medical sciences.


Subject(s)
Mathematics , Models, Biological , Neoplasms/therapy , Animals , Humans
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