Another step in the battle against cancer has been accomplished by researchers from the Hebrew University of Jerusalem (HU). They have introduced a novel method that combines nano informatics and to precisely predict cancer-cell behaviors. According to the researchers, this will make it possible to identify subpopulations of cells with distinct characteristics, such as and the danger of spreading (metastasizing) to other parts of the body.
Doctoral student Yoel Goldstein and Prof. Ofra Benny from the School of Pharmacy in the HU Faculty of Medicine collaborated with Prof. Tommy Kaplan, head of the computational biology department at the .
The first part of the research involved exposing cancer cells to particles of various sizes, each identified by a unique color. The precise number of particles consumed by each cell was then measured. Machine-learning algorithms then analyzed these uptake patterns to predict the critical behaviors of cells, such as drug sensitivity and the potential to spread.
“Our method is unique in its ability to distinguish between cancer cells that appear identical but behave differently at a biological level,” Goldstein said. “This precision is achieved through algorithmic analysis of how micro and nanoparticles are absorbed by cells. Being able to collect and analyze new types of data raises new possibilities for the field, with the potential to revolutionize clinical treatment and diagnosis through the development of new tools.
”The research h.
