USC receives funding for AI tool to advance treatment for rare pediatric diseases
Grant and Award Announcement
Updates every hour. Last Updated: 18-Jun-2026 08:16 ET (18-Jun-2026 12:16 GMT/UTC)
Researchers from the Keck School of Medicine of USC are receiving up to $6.8 million for a two-year research project to develop new computational models and support tools that could accelerate access to cell and gene therapies for children with rare diseases. The team will develop a new framework that combines detailed data about the biological features of each therapy and how patients respond to them. By using artificial intelligence (AI) to study these connections, the project aims to better understand how specific features of a therapy relate to patient outcomes. The research is funded by the Advanced Research Projects Agency for Health (ARPA-H) UNIfying Cell Therapy Outcome prediction and Regulatory Navigation (UNICORN) project, led by ARPA-H Program Manager Daria Fedyukina, Ph.D. UNICORN combines advanced cell analysis technology developed by the team with machine learning tools to identify biological patterns and therapy product features linked to treatment response. This approach aims to enable the development of a regulatory decision-support tool that guides interpretation of product-related evidence when limited data makes conventional measures difficult to establish, enabling patients and families to access new treatments sooner.
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