The term “precision medicine” has become very popular over recent years, fuelled by
scientific as well as political perspectives. Despite its popularity, its exact meaning, and how …

Abstract The “hotness” or “coldness” of the tumors are determined by the information of the
cancer cells themselves, tumor immune characteristics, tumor microenvironment, and …

Motivation Screening bioactive compounds in cancer cell lines receive more attention.
Multidisciplinary drugs or drug combinations have a more effective role in treatments and …

Precision medicine is an approach that takes into account the influence of individuals'
genes, environment, and lifestyle exposures to tailor interventions. Here, we describe the …

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 …

In this paper, we provide an introduction to machine learning tasks that address important
problems in genomic medicine. One of the goals of genomic medicine is to determine how …

Identifying new lead molecules to treat cancer requires more than a decade of dedicated
effort. Before selected drug candidates are used in the clinic, their anti-cancer activity is …

The computational prediction of drug responses based on the analysis of multiple types of
genome-wide molecular data is vital for accomplishing the promise of precision medicine in …

The pressure towards innovation and creation of new model systems in regenerative
medicine and cancer research has fostered the development of novel potential therapeutic …

Motivation Due to cancer heterogeneity, the therapeutic effect may not be the same when a
cohort of patients of the same cancer type receive the same treatment. The anticancer drug …