Abstract
Cancer is a disease that humans have been involved with, and scientists have done great efforts to treat it. But they have not had much success, On the other hand Nano science as a new scientific in various branches of science have been made many changes. Hence can be used to treat cancer of Nano science. Currently, cancer treatment is such that drugs used are not selectivity. The cancer cells are not specifically identified, it destroys healthy tissue and cause harm to the human body. So if we can reduce drug dose of the drug to the targeted tissue must be, we have partially solved the problem. With earlier studies, researchers in the field of folate and gold nanoclusters have done, specified in the detection and destruction of cancer cells are highly effective and very promising future. The gold nanoclusters were used because it has unique properties such as adsorption of heat for the destruction of cancer cells and is also well connected to the folate. the 4-aminothiophenol (4Atp) is one of the best linker for binding folate and gold Nano clusters. In this study we used computational method for computing stability of complex (folate and Nano clusters) and geometrical and physicochemical properties.Â
Highlights
There are over 200 different known cancers that afflict humans
In this work, some important aspects to reach the best performance in combined algorithms with Support vector machine (SVM) for cancer classification are explained
Since delay and accuracy are the important parameters to improve the performance in SVMs, some of the methods with these parameters are compared to use the best algorithms in the future works
Summary
There are over 200 different known cancers that afflict humans. The causes of cancer are diverse, complex, and only partially understood. The performance results on real dataset reveals superiority of the fuzzy expert system in the prognosis process with an average accuracy of 95%, compared to other related works This approach is optimistic for prediction of breast cancer risk and early diagnosis of the cancer and can improve survival rate [254-356]. “Treatment of Breast Cancer Brain Metastases through a Targeted Nanomolecule Drug Delivery System Based on Dopamine Functionalized Multi–Wall Carbon Nanotubes (MWCNTs) Coated with Nano Graphene Oxide (GO) and Protonated Polyaniline (PANI) in Situ During the Polymerization of Aniline Autogenic Nanoparticles for the Delivery of Anti–Cancer Nano Drugs under Synchrotron Radiation”, Br J Res, 4 [3]: 16, 2017. “Different High–Resolution Simulations of Medical, Medicinal, Clinical, Pharmaceutical and Therapeutics Oncology of Human Lung Cancer Translational Anti–Cancer Nano Drugs Delivery Treatment Process under Synchrotron and X–Ray Radiations”, J Med Oncol. “A Modern Ethnomedicinal Technique for Transformation, Prevention and Treatment of Human Malignant Gliomas Tumors into Human Benign Gliomas Tumors under Synchrotron Radiation”, Am J Ethnomed, Vol 4 No 1: 10, 2017
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