JERUSALEM, June 5, 2024 – An innovative, new method that highly accurately predicts cancer cell behavior could advance cancer diagnosis and treatment has been developed by researchers at the Hebrew University of Jerusalem. The new diagnostic tool discussed in Science Advances uses a novel method combining nano informatics and machine learning (ML) to classify cells based on the uptake of cell particles with diverse sizes. It could also enhance personalized medicine by facilitating rapid and accurate testing of cancer cell behaviors from patient biopsies, leading to the development of new clinical tests to monitor disease progression and treatment effectiveness. Current diagnostic methods like imaging scans and tissue biopsies are invasive, expensive and time-consuming, leading to delays in treatment and potential misdiagnoses. These approaches … Continue reading Highly accurate AI diagnostic tool can predict cancer cell behavior, developed by Hebrew University Researchers