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About

Nanhui Yu is a leading researcher in colorectal surgical oncology, with a focus on advancing minimally invasive techniques and personalized risk assessment. Their work centers on robotic-assisted surgery for colorectal neoplasms, particularly through natural orifice specimen extraction surgery (NOSES), a method that reduces abdominal incisions and improves recovery. Yu’s landmark 2023 study, “Robotic natural orifice specimen extraction surgery versus conventional robotic resection,” with 11 citations, provided crucial evidence that robotic NOSES offers comparable short- and long-term outcomes to conventional approaches, marking a significant step toward less invasive colorectal procedures. Beyond surgical innovation, Yu has pioneered the use of machine learning to predict postoperative complications in elderly colorectal cancer patients, as demonstrated in their 2025 study with 4 citations. Additionally, their investigation into the neutrophil-to-albumin ratio (NPAR) as a prognostic biomarker for robot-assisted surgery outcomes (2025, 1 citation) highlights a commitment to integrating simple, cost-effective tools into clinical decision-making. With a growing citation impact, Yu’s contributions are shaping the future of precision surgery and risk stratification, offering tangible benefits for patient care in colorectal oncology.