A pipeline of machine learning-driven multi-modal data fusion methods for prognostic risk analysis in bevacizumab-treated metastatic colorectal cancer
基于机器学习的多模态数据融合方法在贝伐珠单抗治疗的转移性结直肠癌预后风险分析中的应用
期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-026-39189-w
Thomas, Valentina; Nyamundanda, Gift; Lärkeryd, Adrian; Hari, P S; Miller, Ian S; Venken, Tom; Smeets, Dominiek; Boeckx, Bram; Betge, Johannes; Ebert, Matthias P A; Gaiser, Timo; Murphy, Verena; Kay, Elaine; Verheul, Henk M; O'Farrell, Alice C; Cremolini, Chiara; Marmorino, Federica; Gallagher, William M; Barat, Ana; Klinger, Rut; Fender, Bozena; Ylstra, Bauke; van Grieken, Nicole; McNamara, Deborah A; Hennessy, Bryan T; Das, Sudipto; Moran, Bruce; O'Connor, Darran P; Dienstmann, Rodrigo; Lambrechts, Diether; Prehn, Jochen H M; Sadanandam, Anguraj; Byrne, Annette T
