Engineering Spatial and Molecular Features from Cellular Niches to Inform Predictions of Inflammatory Bowel Disease
从细胞微环境工程化空间和分子特征以指导炎症性肠病的预测
机构 * Department of Electrical and Computer Engineering, Herbert Wertheim College of Engineering, University of Florida(电气与计算机工程系,赫伯特·韦斯剧院工程学院,佛罗里达大学) ; Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida(流行病学系,公共卫生与健康专业学院及医学院,佛罗里达大学) ; Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida(药理学与转化研究系,药学院,佛罗里达大学)
专题命中 诊断辅助 :pathology(abstract);分类 cs.LG、q-bio
AI总结 本研究通过空间转录组学构建可解释的机器学习模型,利用细胞微环境特征区分IBD亚型,提升炎症性肠病的诊断准确性与生物机制理解。
Comments 20 pages, 8 figures, 7 tables. Presented at the 37th Benelux Conference on Artificial Intelligence / 34th Belgian Dutch Conference on Machine Learning, Namur, Belgium, November 19 - 21, 2025