Cancer Biology and Cell Science

Track 17: Computational Oncology

Computational oncology utilizes computer models for population screening, individual cancer cell modeling. This information contributes to the predictability that certain pharmaceuticals or therapeutic approaches will provide long term solutions to disease in an individual with cancer. 

Next-generation sequencing has enabled scientists to collect an astonishing amount of data about the genomes of both normal and cancerous cells. Through computational oncology, our investigators are creating tools that enable them to navigate and analyse this vast quantity of information and translate molecular insights into treatments that can benefit patients.

Computational Oncology is a semi-new phrase that is beginning to gain speed in medicine.  It may be surprising to some to find out that there are full departments being created at large medical institutions across the globe titled as such.