AI-MET: AI-Driven Diagnosis for Pediatric MIS-C and Typhus

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Join us in our mission to leverage AI for differentiation between pediatric patients with Typhus or MISC. Your involvement can make a difference in building a tool that can save lives.

AI-MET

Artificial Intelligence-driven differentiation between Multisystem Inflammatory Syndrome in Children and Endemic Typhus in pediatric patients

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Computational Biomedicine Lab
c/o Ioannis A Kakadiaris
University of Houston
4349 MLK Blvd, Rm 322
Houston, TX 77204-6022

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AI-MET is supported in part by R33HD105593. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s).