Breast cancer detection using artificial intelligence techniques: A systematic literature review
Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has
been developed for it. Breast cancer is one of the most common cancer types. According to …
been developed for it. Breast cancer is one of the most common cancer types. According to …
Opportunities and challenges in explainable artificial intelligence (xai): A survey
Artificial intelligence in early drug discovery enabling precision medicine
Introduction: Precision medicine is the concept of treating diseases based on environmental
factors, lifestyles, and molecular profiles of patients. This approach has been found to …
factors, lifestyles, and molecular profiles of patients. This approach has been found to …
MoGCN: a multi-omics integration method based on graph convolutional network for cancer subtype analysis
In light of the rapid accumulation of large-scale omics datasets, numerous studies have
attempted to characterize the molecular and clinical features of cancers from a multi-omics …
attempted to characterize the molecular and clinical features of cancers from a multi-omics …
Subtype-GAN: a deep learning approach for integrative cancer subty** of multi-omics data
Motivation The discovery of cancer subty** can help explore cancer pathogenesis,
determine clinical actionability in treatment, and improve patients' survival rates. However …
determine clinical actionability in treatment, and improve patients' survival rates. However …
Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data
Precision medicine in oncology aims at obtaining data from heterogeneous sources to have
a precise estimation of a given patient's state and prognosis. With the purpose of advancing …
a precise estimation of a given patient's state and prognosis. With the purpose of advancing …