Simple Summary Breast cancer is one of the leading causes of death among women
worldwide. Breast cancer may be provoked due to several physical, chemical and …

Virtual patients and digital patients/twins are two similar concepts gaining increasing
attention in health care with goals to accelerate drug development and improve patients' …

Quantitative systems pharmacology (QSP) models and spatial agent-based models (ABM)
are powerful and efficient approaches for the analysis of biological systems and for clinical …

The exponential increase in our ability to harness multi-dimensional biological and clinical
data from experimental to real-world settings has transformed pharmaceutical research and …

Triple-negative breast cancer (TNBC), a highly metastatic breast cancer subtype, has limited
treatment options. While a small number of patients attain clinical benefit with single-agent …

This article reviews the current knowledge and recent advancements in computational
modeling of the cell cycle. It offers a comparative analysis of various modeling paradigms …

Understanding the intricate interactions of cancer cells with the tumor microenvironment
(TME) is a pre-requisite for the optimization of immunotherapy. Mechanistic models such as …

Due to the lack of treatment options, there remains a need to advance new therapeutics in
hepatocellular carcinoma (HCC). The traditional approach moves from initial molecular …

Project Optimus is a US Food and Drug Administration Oncology Center of Excellence
initiative aimed at reforming the dose selection and optimization paradigm in oncology drug …

Single-cell 'omics methodology has yielded unprecedented insights based largely on data-
centric informatics for reducing, and thus interpreting, massive datasets. In parallel …