Colorectal cancer (CRC) is one of the most prevalent and lethal malignancies globally with
up to 50% of patients eventually progressing to metastatic disease. The mitogen-activated …

Background: Despite the increasing understanding of the molecular characteristics of
cancer, chemotherapy success rates remain low for many cancer types. Studies have …

Cancer is one of the leading causes of death, thus opening a vast need for extensive
research and insights. The survival prospects, along with treatment benefits and costs …

Introduction: Cancer related causes of death remain a global health issue in both
developing and developed countries. Traditionally, therapies have been utilized to …

The goal of precision oncology is to make accurate predictions for cancer patients via some
omics data types of individual patients. Major challenges of computational methods for drug …

It has long been observed that interpatient variability in response to anticancer drugs is
associated with different outcomes. Oncologists continually hold the desire of matching the …

Computational models of cancer chemotherapy have the potential to streamline clinical trial
design, contribute to the design of rational, tailored treatments, and facilitate our …

A major challenge in cancer treatment is predicting the clinical response to anti-cancer
drugs on a personalized basis. The success of such a task largely depends on the ability to …

With the beginning of the high-throughput screening, in silico-based drug response analysis
has opened lots of research avenues in the field of personalized medicine. For a decade …