Accurate prediction of patient drug response is required for successful personalized
medicine. Cancer is a disease resulting from myriad genetic alterations. Accordingly, it …

e13603 Background: Oncology therapeutic development has high failure rates with
substantial costs. Advances in technology, including molecular characterisations of cancer …

Extensive efforts in cancer research over the past decades have markedly improved
diagnosis and treatments, leading to better outcomes for cancer patients. Paradoxically …

Over the past 25 years, there has been an unparalleled increase in understanding of cancer
biology. This transformation is exemplified by Hanahan and Weinberg's decision in 2011 to …

Resistance to therapy remains a major cause of cancer treatment failures, resulting in many
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …

Cancer is a chronologic disease characterized by abnormal cellular proliferation and the
potential to spread to other parts of the body. Activating invasion and metastasis is a …

Motivation: Molecule-based prediction of drug response is one major task of precision
oncology. Recently, large-scale cancer genomic studies, such as The Cancer Genome Atlas …

Background: Checkpoint inhibitor therapy of cancer has led to markedly improved survival of
a subset of patients in multiple solid malignant tumor types, yet the factors driving these …

Background Various machine learning (ML) methods are applied for prediction of individual
clinical efficiency of cancer drugs and therapeutic regimens. As features for ML, different …