Duke University, North Carolina
Rishi Kamaleswaran, PhD, is an Associate Professor of Surgery and Anesthesiology at Duke University School of Medicine. A computer scientist by training, he develops machine learning models using multimodal data to improve patient outcomes, with expertise spanning ICU physiology, omics data, and biomedical engineering. Much of his recent work involves modeling complex multimodal insight to study the mechanisms behind the onset of deterioration in critically ill and immunocompromised patients across the lifespan, such as progression to single or multiple organ dysfunction, sepsis, respiratory and neurological dysfunction. His goal for his research program is based on developing intelligent systems that can be used to develop new cures for diseases and advance clinical understanding of critical and acute illness. He has been funded by the NIH and other industry and private foundations to advance research in those fields.
The Scientific Future of Critical Care Research: Emerging Priorities and Paradigms
Sunday, March 22, 2026
11:50 AM - 12:05 PM Central Time
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The Initial 50,000 ICU Admissions Within the CHoRUS Bridge2AI Multimodal Dataset
Sunday, March 22, 2026
12:15 PM - 1:15 PM Central Time
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