Background: Malignant neoplasm of the pancreas (MNP), a highly lethal illness with bleak
outlook and few therapeutic avenues, entails numerous cellular transformations. These …

Background: Tongue Neoplasms is a common form of malignancy, with squamous cell
carcinoma of the tongue being the most frequently diagnosed type due to regular …

Background: Leukemia, a cancer impacting blood-forming tissues such as bone marrow and
the lymphatic system, presents in various forms, affecting children and adults differently. The …

Simple Summary This paper introduces a novel graph neural network (a hierarchical graph
pooling model), SANEpool, to effectively detect core sub-networks of significant genes for …

Complex signaling pathways/networks are believed to be responsible for drug resistance in
cancer therapy. Drug combinations inhibiting multiple signaling targets within cancer-related …

Abstract The coronavirus disease (COVID-19) has emerged as a significant threat to public
health, especially for individuals battling cancer. It is crucial to prioritize the care and …

The surge in accessible high-throughput molecular data presents computational challenges
for the precision medicine in cancer. Genetic mutations have the potential to act as reliable …

Motivation Drug combination therapy has become an increasingly promising method in the
treatment of cancer. However, the number of possible drug combinations is so huge that it is …

Anti-cancer drug discoveries have been serendipitous, we sought to present the Open
Molecular Graph Learning Benchmark, named CandidateDrug4Cancer, a challenging and …

Motivation Accurate prediction of cancer drug response (CDR) is challenging due to the
uncertainty of drug efficacy and heterogeneity of cancer patients. Strong evidences have …