Kun-Hsing Yu

Kun-Hsing Yu is an expert in multi-modal machine learning for cancer research who develops AI methods that integrate pathology images, genomics, and clinical data. His work has demonstrated that combining information across modalities improves cancer outcome prediction beyond any single data type. Yu's research advances precision oncology through AI-driven patient stratification.

余坤兴是癌症研究多模态机器学习专家，开发整合病理图像、基因组学和临床数据的AI方法。他的工作表明，跨模态组合信息可以比任何单一数据类型更好地改善癌症结果预测。Yu的研究通过AI驱动的患者分层推进精准肿瘤学。