About
Vanessa Moll is a Professor in the Department of Anesthesiology at the University of Minnesota. Her research focuses on improving critical care outcomes through advanced monitoring systems and machine learning applications.
- Key affiliations: University of Minnesota, Department of Anesthesiology
- Active grant: Medtronic Educational Grant (2025-2026)
Research Interests:
• Regional Anesthesia and Perioperative Monitoring
• Acute Kidney Injury (AKI) detection via urine output and sensor technology
• Machine learning for early risk prediction in Intensive Care Units (ICUs)
Recent publications highlight her work in:
- AI-driven postoperative complication prediction
- Real-time deterioration monitoring in critical care
- Ultrasound and sensor-based clinical diagnostics
Scientific Contributions:
- Developed novel urine output-based alert systems for AKI in cardiac surgery patients
- Advancing multimodal analgesia protocols to reduce opioid dependence
- Pioneering machine learning models for ICU risk stratification
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