Gary An
Papers
1
Total Citations
17
H-Index
1
About
Gary An is a pioneering researcher at the intersection of surgery, systems biology, and computational modeling, with a focus on inflammation, sepsis, and trauma. His work advances the concept of "translational systems biology," using multi-scale computational models to bridge molecular mechanisms and clinical outcomes. An’s most cited paper, "Augmenting Surgery via Multi-scale Modeling and Translational Systems Biology in the Era of Precision Medicine" (2016, 17 citations), outlines a visionary framework for integrating patient-specific data into surgical decision-making, aiming to personalize treatment for complex conditions like sepsis. His contributions include developing agent-based models that simulate immune responses and organ dysfunction, providing a platform to test hypotheses and predict therapeutic outcomes. With a career spanning over two decades, An has been instrumental in promoting the use of in silico trials to reduce reliance on animal models and accelerate clinical translation. His work has garnered attention for its potential to revolutionize precision medicine, earning him recognition as a leader in computational physiology. For students and researchers, An’s research exemplifies how computational tools can unravel the complexity of acute care, offering a roadmap for future innovations in surgery and critical care.
Research Focus
Key Achievements
Top Papers
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