Nature Communications
November 8, 2022

The development, based on artificial intelligence, will make it possible to improve breast cancer treatments and warn of wrong diagnoses Computational models developed by researchers at the Taub Faculty of Computer Science will make it possible to better evaluate the effectiveness of immunotherapy treatments, to predict the patient's life expectancy, to improve the treatments in a personalized way and to warn of wrong diagnoses. The research on the subject is led by Dr. Gil Shamai, post- doc student in the Laboratory for Geometric Image Processing (GIP) led by Prof. Ron Kimmel. Prof. Kimmel is a faculty member in the Taub Faculty of Computer Science and a professor with a secondary affiliation in the Viterbi Faculty of Electrical and Computer Engineering.

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