Perspectives on Sub–Nanometer Level of Electronic Structure of the Synchrotron with Mendelevium Nanoparticles for Elimination of Human Cancer Cells, Tissues and Tumors Treatment Using Mathematica 12.0

Schmitt

Henderson

et al. 2020

IJAC

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Cancer is one of the malignant diseases and millions of people worldwide die from cancer annually. Breast cancer diagnosis requires the analysis of images and attributes as well as collecting many clinical and mammography variables. In diagnosis of breast cancer, it is im-portant to determine whether a tumor is benign or malignant. The information about breast cancer risk prediction along with the type of tu-mor are crucial for patients and effective medical decision making. An ideal diagnostic system could effectively distinguish between benign and malignant cells; however, such a system has not been created yet. In this study, a model is developed to improve the prediction probabil-ity of breast cancer. It is necessary to have such a prediction model as the survival probability of breast cancer is high when patients are diagnosed at early stages.

Section: Population Differences In Cancer Prevalencementioning

confidence: 99%

Hereditary immunity in cancer

Schmitt

Henderson

et al. 2020

IJAC

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Recent New Results and Achievements of California South University (CSU) BioSpectroscopy Core Research Laboratory for COVID-19 or 2019-nCoV Treatment: Diagnosis and Treatment Methodologies of “Coronavirus”

Caissutti

Henderson

et al. 2020

JVAT

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Coronavirus nanoparticles show a strong peak of Plasmon absorption in ultraviolet–visible zone. A strong interaction exists between the surface of Coronavirus nanoparticles and Bcr–Abl tyrosine–kinase inhibitors (TKI) such as Imatinib (STI571), Nilotinib (AMN107), Dasatinib (BMS–345825), Bosutinib (SKI–606), Ponatinib (AP–24534) and Bafetinib (INNO–406). Bcr–Abl tyrosine–kinase inhibitors (TKI) such as Imatinib (STI571), Nilotinib (AMN107), Dasatinib (BMS–345825), Bosutinib (SKI–606), Ponatinib (AP–24534) and Bafetinib (INNO–406) cause to aggregation of Coronavirus nanoparticles linked to DNA/RNA and hence, lead to widening of peak Plasmon of Coronavirus nanoparticles surface at 550 (nm) and emerging a new peak at higher wavelength. In the current project, this optical characteristic of Coronavirus nanoparticles is used to time investigate of interaction between different Bcr–Abl tyrosine–kinase inhibitors (TKI) such as Imatinib (STI571), Nilotinib (AMN107), Dasatinib (BMS–345825), Bosutinib (SKI–606), Ponatinib (AP–24534) and Bafetinib (INNO–406) and Coronavirus nanoparticles. The results were shown that Bcr–Abl tyrosine–kinase inhibitors (TKI) such as Imatinib (STI571), Nilotinib (AMN107), Dasatinib (BMS–345825), Bosutinib (SKI–606), Ponatinib (AP–24534) and Bafetinib (INNO–406) with shorter chain length interact faster with Coronavirus nanoparticles. Therefore, a simple and fast method for identification of Bcr–Abl tyrosine–kinase inhibitors (TKI) such as Imatinib (STI571), Nilotinib (AMN107), Dasatinib (BMS–345825), Bosutinib (SKI–606), Ponatinib (AP–24534) and Bafetinib (INNO–406) with various chain length using red shift in surficial Plasmon absorption is presented.

Role and Applications of Synchrotron Removal from Raman Spectra for Quantitative Analysis of Cancer Tissues

Aswan University Journal of Environmental Studies

2020

In the current paper, the effect of presence and absence of synchrotron on quantitative analysis of sample is investigated using Fourier transform filters method. Using Raman spectroscopy on cancer tissues sample, which is one of the most important herbs, quantitative and qualitative analyses are performed. DNA/RNA of cancer cells was detected in the sample and the performance of Raman arrangement for measuring DNA/RNA of cancer cells concentration was evaluated at two parts using calibration graph. In the first part, spectra are containing synchrotron while in the second part, spectra are filtered and synchrotron are removed.