By reworking an existing protein, researchers at UC San Diego have revitalized a previously unsuccessful cancer treatment.

Sepsis, or infection causing life-threatening organ dysfunction, is a leading cause of death in children worldwide. In efforts to prevent this rare but critical condition, researchers developed and validated AI models that accurately identify children at high risk for sepsis within 48 hours, so that early preemptive care can be provided. These predictive models used routine electronic health record (EHR) data from the first four hours the child spent in the Emergency Department (ED), before organ dysfunction was present.