Yale researchers join national effort to transform critical care through real-time immune monitoring

Andre Levchenko

Andre Levchenko is Director of the Yale Systems Biology Institute at the university’s West Campus. 

By Jon Atherton

Researchers at Yale have been selected as part of a national effort to develop technologies that could fundamentally change the treatment of critically ill patients.

Led by Andre Levchenko, the John C. Malone Professor of Biomedical Engineering and Director of the Yale Systems Biology Institute, the collaboration seeks to provide intensive care teams with real-time insight into patients’ immune responses and guide interventions before life-threatening complications occur.

The project is supported by the U.S. Advanced Research Projects Agency for Health (ARPA-H) through the Critical Illness Immunological Reprogramming and Control Point Learning Engine (CIRCLE) program.

Collaborating with Novelna, Inc. and across the CIRCLE program, the Yale team, which includes Ruslan Medzhitov, Sterling Professor of Immunobiology, and John Tsang, Anthony N. Brady Professor of Immunobiology and of Biomedical Engineering, will contribute advanced computational and experimental approaches to help develop next-generation “digital twin” models capable of predicting how an individual patient’s immune system will evolve in response to injury, infection, and treatment. 

In parallel, researchers will establish experimental platforms using human immune cells and microfluidic technologies to test and validate model predictions under precisely controlled conditions.

The CIRCLE program aims to reimagine the way clinicians care for the 4.6 million Americans admitted to intensive care units (ICUs) each year. Many who come through intensive care struggle with long-term complications such as post-ICU syndrome, a collection of debilitating physical and cognitive symptoms that can persist for months or years after discharge.

“Critical illness is extraordinarily dynamic, with patients often transitioning rapidly between damaging inflammatory states and immune suppression”

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Andre Levchenko

“Our goal is to develop computational frameworks that can capture these changing trajectories in real time and help identify opportunities for intervention before irreversible organ damage occurs.”

The Yale contribution builds on longstanding strengths in systems biology, bioengineering, computational modeling, and translational biomedical research, and represents a significant opportunity to advance the development of precision medicine approaches for critically ill patients.