Despite the promises made that genomic sequencing would transform therapy by
introducing a new era of personalized medicine, relatively few tangible breakthroughs have …

Most cancer cells harbor multiple drivers whose epistasis and interactions with expression
context clouds drug and drug combination sensitivity prediction. We constructed a …

We review the evolution, achievements, and limitations of the current paradigm shift in
medicine, from the “one‐size‐fits‐all” model to “Precision Medicine.” Precision, or …

Objectives Computational modeling of biological systems is a powerful tool to clarify diverse
processes contributing to cancer. The aim is to clarify the complex biochemical and …

All people are unique and so are their diseases. Our genomes, disease histories, behavior,
and lifestyles are all different; therefore it is not too surprising that people often respond …

Background and purpose Predicting the efficacy of anticancer therapy is the holy grail of
drug development and treatment selection in the clinic. To achieve this goal, scientists …

Multiscale systems biology is having an increasingly powerful impact on our understanding
of the interconnected molecular, cellular, and microenvironmental drivers of tumor growth …

The wealth of genomic information currently available to researchers and clinicians has
dramatically changed the way some diseases are defined. However, leveraging this …

A systems-biology approach to complex disease (such as cancer) is now complementing
traditional experience-based approaches, which have typically been invasive and …

Cancer immunotherapy is the great breakthrough in cancer treatment as it displayed
prolonged progression-free survival over conventional therapies, yet, to date, in only a …