Background Accurately predicting the survival rate of breast cancer patients is a major issue
for cancer researchers. Machine learning (ML) has attracted much attention with the hope …

Radiation therapy, which applies high-energy rays, to eradicate tumor cells, is considered
an essential therapy for the patients with breast cancer. Most tumor cells secrete exosomes …

Objective To differentiate brain pilocytic astrocytoma (PA) from glioblastoma (GBM) using
contrast-enhanced magnetic resonance imaging (MRI) quantitative radiomic features by a …

This article delves into the potential of artificial intelligence (AI) to enhance early breast
cancer (BC) detection for improved treatment outcomes and patient care. Utilizing a …

Background: The low breast cancer survival rates in less developed countries are critical.
The machine learning techniques predict cancers survival with high accuracy. Missing data …

Background: Breast cancer is the most common cancer after lung cancer and the second
cause of death. In this study we compared Weibull and Lognormal Cure Models with Cox …

The new Sysmex UF‐1000i analyzer–which incorporates bacteria morphology distinction–
allows to automatically screen samples to be cultured at microbiology laboratories. We have …

Breast cancer is currently the most commonly diagnosed cancer and leading cause of
cancer-related deaths among women worldwide. Analyzing the survival time of breast …

On the adaption of data mining technology to categorize cancer diseases Page 1 International
Journal Artificial Intelligent and Informatics ISSN 2622-626X Vol. 3, No. 2, December 2022, pp …

Breast Cancer is a complex disease characterized by multiple variables obtained from
several data-sources, such as clinical, genetic or image sources. Over the past decades …