Prediction of avatrombopag-induced thrombocytosis in pediatric immune thrombocytopenia: an AI-based real-world study
Xi Lin, Yuntian Wang, Yunqi Zhu, Nan Wang, Jingjing Liu, Zhifa Wang, Yu Hu, Shuyue Dong, Hui Chen, Jinxi Meng, Jingyao Ma, Zhenping Chen, Wensheng Zhang, Yongqiang Tang, Runhui Wu, Xiaoling Cheng · 2026
Read Prediction of avatrombopag-induced thrombocytosis in pediatric immune thrombocytopenia: an AI-based real-world study by Xi Lin, Yuntian Wang, Yunqi Zhu, Nan Wang, Jingjing Liu, Zhifa Wang, Yu Hu, Shuyue Dong, Hui Chen, Jinxi Meng, Jingyao Ma, Zhenping Chen, Wensheng Zhang, Yongqiang Tang, Runhui Wu, Xiaoling Cheng (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13309387.txt.
Description
Xi Lin and a large team build an artificial intelligence tool in 2026 to predict which children on avatrombopag, a platelet-boosting drug, will overshoot into excess platelets. Records covered seventy-four children treated at Beijing Children's Hospital between 2021 and 2024 for immune thrombocytopenia. Nine modelling approaches, from logistic regression to modern deep tabular networks, were compared.
A feature-token transformer model performed best on both accuracy and discrimination measures. Explanation graphics showed which patient features pushed each prediction up or down, keeping the tool readable for clinicians. Excess platelets can threaten safety and interrupt treatment, and no validated predictor existed before. The authors offer the model for individual risk checks before treatment starts. Outside validation is still needed, since all data came from one hospital's real-world practice.
Catalog record
| CREATOR | Xi Lin, Yuntian Wang, Yunqi Zhu, Nan Wang, Jingjing Liu, Zhifa Wang, Yu Hu, Shuyue Dong, Hui Chen, Jinxi Meng, Jingyao Ma, Zhenping Chen, Wensheng Zhang, Yongqiang Tang, Runhui Wu, Xiaoling Cheng |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |