Simple Summary The ongoing advancements in deep learning, notably its use in predicting
cancer survival through genomic data analysis, calls for an up-to-date review. This paper …

Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …

Abstracts: Deep learning, a branch of artificial intelligence, excavates massive data sets for
patterns and predictions using a machine learning method known as artificial neural …

Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …

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 …

Background Recent advances in kernel-based Deep Learning models have introduced a
new era in medical research. Originally designed for pattern recognition and image …

Background Digitized histopathological tissue slides and genomics profiling data are
available for many patients with solid tumors. In the last 5 years, Deep Learning (DL) has …

Deep learning has been applied to many areas in health care, including imaging diagnosis,
digital pathology, prediction of hospital admission, drug design, classification of cancer and …

Background Survival analysis is an important part of cancer studies. In addition to the
existing Cox proportional hazards model, deep learning models have recently been …

Cancer histology reflects underlying molecular processes and disease progression and
contains rich phenotypic information that is predictive of patient outcomes. In this study, we …