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 …

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 …

Artificial neural networks (ANN) are computing architectures with many interconnections of
simple neural-inspired computing elements, and have been applied to biomedical fields …

The embryonic pyruvate kinase M2 (PKM2) isoform is highly expressed in human cancer. In
contrast to the established role of PKM2 in aerobic glycolysis or the Warburg effect,,, its non …

Glioblastoma is the most common and most aggressive primary brain tumor. Despite
maximum treatment, patients only have a median survival time of 15 months, because of the …

Gliomas are the most common primary brain tumors with heterogeneous morphology and
variable prognosis. Treatment decisions in patients rely mainly on histologic classification …

Glioma is the commonest form of primary brain tumor in adults with varying malignancy
grades and histological subtypes. Long non-coding RNAs (lncRNAs) are a novel class of …

The acceleration of large-scale sequencing and the progress in high-throughput
computational analyses, defined as omics, was a hallmark for the comprehension of the …

Applications of genomic and proteomic technologies have seen a major increase, resulting
in an explosion in the amount of highly dimensional and complex data being generated …

A major challenge for successful immunotherapy against glioma is the identification and
characterization of validated targets. We have taken a bioinformatics approach towards …