Detection of acquired radioresistance in breast cancer cell lines using Raman spectroscopy and machine learning

Diagnosing Breast Cancer by Machine Learning

Background and Aim: Cancer and in particular Breast cancer are among the diseases that have the highest mortality rate in Iran after heart disease. The accurate prognosis for Breast cancer is important, and the presence of various symptoms and features of this disease makes it difficult for doctors to diagnose. This study aimed to identify the factors affecting Breast cancer, modeling and ultim...

High Performance Method for Skin Roughness Detection Using Raman Spectroscopy

Diagnosing breast cancer by using Raman spectroscopy.

We employ Raman spectroscopy to diagnose benign and malignant lesions in human breast tissue based on chemical composition. In this study, 130 Raman spectra are acquired from ex vivo samples of human breast tissue (normal, fibrocystic change, fibroadenoma, and infiltrating carcinoma) from 58 patients. Data are fit by using a linear combination model in which nine basis spectra represent the mor...

Evaluating HER2 amplification status and acquired drug resistance in breast cancer cells using Raman spectroscopy.

The overexpression of human epidermal growth factor receptor 2 (HER2) is associated with increased breast cancer recurrence and worse prognosis. Effective treatments such as trastuzumab and lapatinib for patients with HER2 overexpression target the blockade of HER2 signaling activities but are often limited by the emergence of acquired drug resistance. This study applied Raman spectroscopy to d...

Detection and Characterization of Human Teeth Caries Using 2D Correlation Raman Spectroscopy

Background: Carious lesions are formed by a complex process of chemical interaction between dental enamel and its environment. They can cause cavities and pain, and are expensive to fix. It is hard to characterize in vivo as a result of environment factors and remineralization by ions in the oral cavity. Objectives: The development of a technique that gives early diagnosis which is non-invasi...