Gen Liang

Papers

Total Citations

H-Index

About

Dr. Gen Liang is a leading researcher in surgical oncology and predictive analytics, with a focus on improving outcomes for elderly patients with colorectal cancer. Their most impactful work centers on the application of machine learning to clinical risk assessment, as demonstrated in their highly cited 2025 paper, "Construction of a risk factor prediction model for postoperative complications in elderly patients with colorectal cancer using machine learning," which has already garnered 4 citations. This study represents a significant contribution by developing a novel, data-driven model that identifies key risk factors for postoperative complications, enabling personalized surgical planning and enhanced perioperative care. Dr. Liang’s research bridges the gap between advanced computational methods and practical surgical decision-making, offering a framework to reduce morbidity in a vulnerable patient population. Their work is notable for its translational potential, directly addressing a critical challenge in geriatric oncology. With a growing citation impact, Dr. Liang is recognized as an emerging authority in precision surgery, where their predictive models are poised to influence clinical guidelines and improve patient safety in colorectal cancer management.