Uri
Ilan

AI innovation lead Prinses Maxima Centrum

About Uri

Dr. Ilan is the AI Lead at the Máxima Innovation Center, Princess Máxima Center for Pediatric Oncology. He studied medicine at the Hebrew University of Jerusalem and did his pediatric training and began his pediatric oncology fellowship at Hadassah Medical Center, completing it at Birmingham Children’s Hospital in the UK. He develops AI-powered tools to support clinical decision-making, including Capricorn, an advanced literature search platform built with Google, and an AI-driven tumor board assistant. He also advises health-tech companies on integrating AI into clinical workflows. His work focuses on reducing global health disparities by making evidence-based cancer care more accessible through technology.

The Talk

Capricorn and beyond: reducing inequality in pediatric cancer care

This session explores how agentic AI is driving a new era in pediatric hemato-oncology—one focused not only on precision, but on equity. The session opens with the development of Capricorn, an AI-powered search tool co-created with Google, designed to support clinicians in identifying evidence-based treatment options more efficiently. By turning complex patient data into structured PubMed queries, Capricorn enables faster access to relevant literature, helping to level the playing field for institutions with limited research support.

Building on this foundation, the session introduces the AI Tumor Board (AI-TB), developed with ML6, which supports clinicians in making structured, informed decisions in complex cancer cases. A bold vision follows: the creation of agentic AI avatars based on world-leading pediatric oncology experts—virtual advisors that can be shared globally, giving any physician, anywhere, access to the collective expertise of the field.

The session concludes with a preview of a new collaboration with Google Research, where agentic AI is being applied to unlock hidden mechanisms in cancer biology. Throughout, the focus remains clear: using AI not just to enhance clinical decision-making, but to actively reduce health inequality by scaling access to knowledge, expertise, and precision care for children with cancer worldwide.

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