Researchers at the Hebrew University of Jerusalem say they have developed a way to accurately predict the behavior of cancer cells, which will advance diagnosis and treatment of the disease.
The new diagnostic tool uses AI machine learning combined with nanoinformatics (observing nanomaterials) to classify cancer cell behavior in individual patient biopsies, potentially paving the way for personalized monitoring of the progression of the disease and the impact of treatments.
The study was led by Hebrew University doctoral student Yoel Goldstein and Prof. Ofra Benny from its School of Pharmacy in the Faculty of Medicine, working with Prof. Tommy Kaplan, the head of the Department of Computational Biology at the School of Engineering and Computer Science.
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