Advancing Cancer Research Through Artificial Intelligence
Israel is ranked #1 in the world for AI adoption per capita, and that culture of innovation is helping shape the future of cancer research.
We are proud to support Israeli scientists who are using artificial intelligence, machine learning, deep learning, and advanced data analysis to improve cancer detection, better predict treatment response, and move toward more personalized care.
From breast cancer imaging to digital pathology to leukemia immunotherapy, ICRF-funded researchers are helping bring the future of cancer care closer.
Learn about three ICRF-supported scientists advancing AI-driven cancer research:
🔹 Dr. Debbie Anaby – Chaim Sheba Medical Center
Dr. Debbie Anaby is using advanced image analysis and artificial intelligence to extract new insights from breast MRI scans. Her research aims to improve early breast cancer detection, reduce unnecessary biopsies, and help clinicians make more accurate decisions about breast health.
🔹 Prof. Ron Kimmel – Technion – Israel Institute of Technology
Prof. Ron Kimmel is applying deep learning and digital pathology to improve breast cancer risk stratification. By analyzing digital pathology images, his research seeks to make cancer diagnosis more accurate and consistent while helping physicians personalize treatment decisions.
🔹 Prof. Ido Amit – Weizmann Institute of Science
Prof. Ido Amit is developing an artificial intelligence tool to help predict how acute leukemia patients may respond to BiTE immunotherapy. His research combines single-cell technologies and advanced computational analysis to support more personalized and effective cancer treatment.
