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Cancer Diagnosis by Functional Possibilities and its Applications

Sunil Kumar Kashyap

Abstract


This paper presents a diagnosis of cancer by the theory of function. Some properties are applied for the same. The injective, surjective and bijective mappings are used for curing the cancer disease. Inverse function also plays an important role. The set of possibilities of functional properties are proved as the particular map between the cancer cell and medicine is required to measurable cure. To curing cancer is primary objective of this paper by transformation from the set of cancer cell into the set of functional set. There is the probability of occurring the finite domain with this correspondence that generalizes to define the structure of the cancer stage. To classifying the stages of the cancer disease is another objective of this paper for curing in shortest time period.


Keywords


Cancer, Function, Injective, Surjective, Bijective

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References


Bianconi E, Piovesin A, An estimation of the number of cells in human body, An Annals of human biology, Nov-Dec 2013; 40(6): 463-71.

Kashyap S K, Mathematical directions for curing the cancer disease: Theory and Practice, Journal of Experimental and Theroupeutics and Oncology, 2008; 7(3): 219-25.

Sunil Kumar Kashyap, Vikas Kumar Jain, Swati Jain, Ashutosh Pandey, A Direction to Prepare Cancer Vaccine, Journal of Experimental and Therapeutics Oncology. 2018 Nov; 12(4):331-332.

Sunil Kumar Kashyap, Vikas Kumar Jain, Swati Jain, Ashutosh Pandey, Birendra Kumar Sharma, Amitabh Banerjee, Curing Cancer by Cancer Function, Journal of Experimental and Therapeutics Oncology. 2018: 12(4) 333-334.

Sunil Kumar Kashyap, Swati Jain, Satheesh A., Manju B. R., Vikas Kumar Jain, Controlling the Growth Rate of Cancer Cell, Journal of Experimental and Therapeutics Oncology. 2019 Jan; 13(1):77-78.

Sunil Kumar Kashyap, Birendra Kumar Sharma, Amitabh Banerjee, Anil Kumar Tiwari, Vikas Kumar Jain, Swati Jain, Ashutosh Pandey, Cancer Cell Controller, Journal of Experimental and Therapeutics Oncology. 2018:12(3):245-246.

S. Bradley S, A. Hax, T. Magnanti, Applied mathematical programming, Addison-Wesley (1 February 1977).

G. Strang, Introduction to applied mathematics, Wellesley Cambridge Press, 1986.

A. R. Anderson, V. Quaranta, Integrative mathematical oncology, Nature Review Cancer, 8, 227-234, 2008.

Altrock P M, Liu L L, Michor F, the mathematics of cancer: integrating quantitative models, Nature Reviews Cancer. 2015:15(12):730-745.

Magnanti T, Twenty years of mathematical programming, Cambridge Press, 1989.

Stuart K Calderwood, et al. Cellular and molecular chaperone fusion vaccines: targeting resistant cancer cell populations. Int J Hyperthermia. 2013 Aug; 29(5): 376-9.

Petr G Lokhov, et al. Design of universal cancer vaccines using natural tumor vessel-specific antigens (SANTAVAC). Hum Vaccin Immunother. 2015; 11(3): 689-98.

I Kirman, et al. Combined whole tumor cell and monophosphoryl lipid A vaccine improved by encapsulation in murine colorectal cancer. Surg Endosc. 2002 Apr; 16(4): 654-8.

David M Lubaroff. Prostate cancer vaccines in clinical trials. Expert Rev Vaccines. 2012 Jul; 11(7):857-68.


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