Precision Medicine News

Researchers Advance Cancer Drug-Matching, Personalized Medicine

Clemson University researchers are advancing research that could lead to the creation of cancer drug-matching models and advance personalized medicine.

a galaxy made of binary code

Source: Getty Images

By Shania Kennedy

- A research team from Clemson University has created an open-source model designed to help medical researchers build scalable prediction models that can represent extensive cellular interactions and allow for the integration of large datasets, which could be used to advance personalized medicine approaches such as cancer drug-matching.

According to the press release, the study will be of most interest to researchers at pharmaceutical companies and those interested in computational modelling. These types of models are difficult to create for clinical applications because they are too small and limited in their capabilities to handle the large amounts of data required.

The researchers created their framework to address these issues and help others answer design questions, like how a manufacturer might run computer models of a product before actually building it.