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Cervical Cancer - Astrophysics Data System

Summarized by Plex Scholar
Last Updated: 19 June 2022

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AgInS 2 /ZnS quantum dots for noninvasive cervical cancer screening with intracellular pH sensing using fluorescence lifetime imaging microscopy

"Fluorescence lifetime imaging microscopy coupled with AIS/ZnS QDs is used for the analysis of live cells in various pH buffers and different cell lines," the author says. The AIS/ZnS QDs can also be distinguished from normal cells by this technique, and the fluorescence lifetime difference between the two types of cells is 100 %u00b1 7 ns. For the first time, the noninvasive method has been used for cervical cancer screening, and it has shown a dramatic improvement in sensitivity relative to a clinical conventional cytology test. ".

Source link: https://ui.adsabs.harvard.edu/abs/2022NaRes..15.5193S/abstract


A Model for Predicting Cervical Cancer Using Machine Learning Algorithms

"A growing number of individuals and companies are turning to machine learning and deep learning to analyze huge amounts of data and produce actionable reports. " Cervical cancer is one of the most common illnesses among women, and early detection may be a potential cure for this disease. ML algorithms, in turn, make this report an accurate way to predict cervical cancer. The four phases of the proposed research methodology include research data, data pre-processing, predictive model selection, and pseudo-code. To determine the model's efficiency, the computational complexity of classic machine learning methods is estimated. In addition, 132 Saudi Arabian volunteers were polled as part of this research to hear their opinions about computer-assisted cervical cancer prediction, which led to a greater emphasis on the human papillomavirus. ".

Source link: https://ui.adsabs.harvard.edu/abs/2022Senso..22.4132A/abstract

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions