‘This discovery allows us to potentially use cells from patient biopsies to predict disease progression or chemotherapy resistance quickly.’
Scientists at Hebrew University are developing a new method for predicting the behavior of cancer cells, which may revolutionize diagnosis and treatment.
Israeli researchers have combined machine learning algorithms with nano informatics to determine cell uptake patterns. Through this process, they can predict how cancer will spread or respond to treatment.
“Our method is novel in its ability to distinguish between cancer cells that appear identical but behave differently at a biological level,” said Yoel Goldstein, a doctoral student at Hebrew University’s School of Pharmacy.
