Introduction Thanks to improvement of care, cancer has become a chronic condition. But
due to the toxicity of treatment, the importance of supporting the quality of life (QoL) of cancer …

Cancer diagnosis using machine learning algorithms is one of the main topics of research in
computer-based medical science. Prostate cancer is considered one of the reasons that are …

Prostate cancer (PCa) is a common malignant tumor with increasing incidence and high
heterogeneity among males worldwide. In the era of big data and artificial intelligence, the …

Simple Summary We describe a risk profile reconstruction model for cancer-specific survival
estimation for continuous time points after urologic cancer diagnosis. We used artificial …

Computational pathology is part of precision oncology medicine. The integration of high-
throughput data including genomics, transcriptomics, proteomics, metabolomics, pathomics …

Tumor-to-stroma ratio (TSR) is a prognostic factor that expresses the relative amounts of
tumor and intratumoral stroma. In this study, its clinical and molecular relevance was …

A history of brain tumor strongly affects children's cognitive abilities, performance of daily
activities, quality of life, and functional outcomes. In light of the difficulties in cognition …

Deep learning is increasingly studied in the prediction of cancer yet few deep learning
systems have been introduced for daily use for such purpose. The manual scanning …

Objectives This paper reports on an exploratory study into the perceived benefits and
challenges of using an electronic cancer prediction system, C the Signs, for safety netting …

Among males, prostate cancer (Pca) is the cancer type with the highest prevalence and the
second leading cause of cancer deaths. The current screening methods for prostate cancer …