Simulation Based On Neural Network Architecture Reference On Nano-bio Sensors Model For Cancer Diagnosis And Automated Drug Delivery System With MATLAB

Majlesi Journal of Telecommunication Devices

مقاله 7، دوره 4، شماره 1، خرداد 2015   

نوع مقاله: Articles

نویسندگان

shahla hasanzadeh^* ؛ meraj rajaee

چکیده

In this paper, a mathematical model is required to describe the nanowires and  nanodevices by software is Designing , modeled  and implemented .  In graphs obtained from the simulation of neural network based on its model reference nano-sensorsm ,the current during the reaction and the surface concentration of corresponding  tumor cells , identical to the obtained graphs from the test setup, is obtained  that based on, a mathematical model based on MATLAB for nanodevices developed and in Designing a nano-bio sensors are used to detect disease. Arrays reference model in this paper consists of 64 nanowire sensor that it ,s used to detect prostate cancer. In this paper, a modified method based on principal component analysis (PCA) and neural network design is presented when compared to other existing methods that have almost accuracy 94%, the highest accuracy correctly of 99.28% is capable.

کلیدواژه‌ها

en

مراجع

[1] M. Beckett,.; cazares, l.; A. vlahou; P. schellhammer,; wright, g.( 1995) “Prostate-specific membrane antigen levels in sera from healthy men and patients with benign prostate hyperplasia or prostate cancer”.,Clin. Cancer res. 1995, 5, 4034-4040.

[2] N. Dandachi;O. dietze,; C. hauser-kronberger, ( 2002) Chromogenic in situ hybridization: “a novel approach to a practical and sensitive method for the detection of her2 oncogene in archival human breast carcinoma”. Lab. Invest. 2002, 82, 1007–1014.

[3] C. Henderson,; A. patek, ( 1998) “The relationship between prognostic and predictive factors in the management of breast cancer”. Breast cancer res. Treat. 1998, 52, 261-288.

[4] J. Ludwig; J. weinstein. (2005) “Biomarkers in cancer staging, prognosis and treatment selection”. Nature rev. Cancer, 5, 845-856.

[5] J. Landman; Y. chang; E. kavaler; M. droller; B. liu.( 1998) “Sensitivity and specificity of nmp-22, telomerase, and bta in the detection of human bladder cancer”. Urology 1998, 52, 398-402.

[6] R. Molina;J. auge; J. escudero; R. marrades ; N.vinolas; E. carcereny; J. ramirez; X. filella. Mucins ca(2008) 125, ca 19.9, ca 15.3 and tag-72.3 as “tumor markers in patients with lung cancer”: comparison with cyfra 21-1, cea, scc and nse. Tumor biol. 2008, 29, 371-380.

T.W. Prow,W.A. rose ,N. wang ,L.M. reece, , Y. lvov, J.F. leary, (2005). “biosensor-controlled gene therapy/drug delivery with nanoparticles for nanomedicine”. proc. Of spie 5692: 199 –208, 2005.

[7] J.N. Prowsmith,R. grebeJ.H. salazar.,N. wang, N. kotov, G. lutty, ,J.F. leary, ( 2006) “construction, gene delivery, and expression of dna tethered nanoparticles”. molecular vision. 12: 606-615, 2006.

[8] T.W. Prow,R. grebe,C. merges, ,J.N. smith, D.S. mcleod, , J.F. leary,A. gerard ,G.A. Lutty,.( 2006) “novel therapeutic gene regulation by genetic biosensor tethered to magnetic nanoparticles for the detection and treatment of retinopathy of prematurity”. molecular vision 12: 616-625, 2006.6.

[9] Ushaa eswaran, m.madhavilatha, , (2009) “disease detection using pattern recognition techniques” national conference on 'emerging trends in information communication technology”. (etict-08) held in gitam university, india during 19th & 20th december and is published in gitam journal of information communication technology of vol-2 jan - july 2009 number - 1 (issn 0974-4622) pp 34-37.

[10] Ushaa eswaran, madhusudhana rao, m.s.thakur (2004) “microprocessor based biosensors for determination of toxins and pathogens in restricted areas of human intervention”. ic ai’04 ieee sponsored international conference on artificial intelligence held in las vegas, nevada, usa during 21 – 24 june2004.

[11] Ushaa. S.M.; madhavilatha.m; madhusudhana rao ganji.( 2010) - “development and validation of matlab models for nanowire sensors for disease detection” .i-manager’s journal on future engineering & technology, vol. 6 l no. l.2 .

[12] Ushaa. S.M.; Madhavilatha.M; Madhusudhana Rao Ganji (2011). “Design and Analysis of Nanowire Sensor Array for Prostate Cancer Detection”. (Submission code: IJNBM-20274) for the International Journal of Nano and Biomaterials (IJNBM). Int. J. Nano and Biomaterials, Vol. 3, No. 3.

[13] Ushaa Eswaran, Vivek Eswaran ) 2012( . “Neural Network Architecture based Software Reference Model for Automated Disease Classification and Detection”. UNIASCIT, Vol 2 (1), , 183-192.

[14] Ushaa Eswaran, Vivek Eswaran ) 2012( “ Neural Network Architecture based Software Reference Model for Automated Disease Classification and Detection ” UNIASCIT, Vol 2 (1), , 183-192.