crossrefFrontiers in Cell and Developmental Biology2026-07-09
Machine learning-based models for predicting the efficacy and safety of recombinant human interleukin-11 in the treatment of cancer therapy-induced thrombocytopenia: exploration and preliminary validation from a multicenter retrospective study
Yingmei Wen, Jinxiong Xia, Yi Dong, Zheming Liu, Shuyang Yu, Yuanyuan Wang, et al.
Introduction Cancer therapy-induced thrombocytopenia (CTIT) is a common hematologic toxicity associated with anti-tumor treatment. Recombinant human interleukin-11 (rhIL-11), as a thrombopoietic agent, is widely used in clinical practice. However, its efficacy and safety exhibit…