Recently, using artificial intelligence (AI) in drug discovery has received much attention
since it significantly shortens the time and cost of developing new drugs. Deep learning (DL) …

Cancer claims millions of lives yearly worldwide. While many therapies have been made
available in recent years, by in large cancer remains unsolved. Exploiting computational …

Lung cancer has been the most common and the leading cause of cancer deaths globally.
Besides clinicopathological observations and traditional molecular tests, the advent of …

For an increasing number of preclinical samples, both detailed molecular profiles and their
responses to various drugs are becoming available. Efforts to understand, and predict, drug …

Motivation Accurate disease phenotype prediction plays an important role in the treatment of
heterogeneous diseases like cancer in the era of precision medicine. With the advent of high …

Abstract The application of Artificial Intelligence (AI) on cancer drug recommendation can
prompt the development of personalized cancer therapy. However, most of the current AI …

Drug response prediction in cancer cell lines is of great significance in personalized
medicine. In this study, we propose GADRP, a cancer drug response prediction model …

Abstract Development of novel anti-cancer treatments requires not only a comprehensive
knowledge of cancer processes and drug mechanisms of action, but also the ability to …

The development of reliable predictive models for individual cancer cell lines to identify an
optimal cancer drug is a crucial step to accelerate personalized medicine, but vast …

Drug response classification constitutes a major challenge in personalized medicine. The
suitable drug selection for cancer patients is substantial and the drug response prediction is …