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CAR-Toner: an AI-driven approach for CAR tonic signaling prediction and optimization

Shizhen Qiu^1,2,† , Jian Chen^3,† , Tao Wu^1,† , Li Li¹ , Gang Wang⁴ , Haitao Wu³ , Xianmin Song² , Xuesong Liu¹ , Haopeng Wang^1,5,6,*

¹School of Life Science and Technology, ShanghaiTech University, Shanghai, China
²Department of Hematology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
³ENT institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China
⁴Jiangsu Center for the Collaboration and Innovation of Cancer Biotherapy, Cancer Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China
⁵State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
⁶Shanghai Clinical Research and Trial Center, Shanghai, China
^†These authors contributed equally: Shizhen Qiu, Jian Chen, Tao Wu
* Correspondence: Haopeng Wang(wanghp@shanghaitech.edu.cn)

https://doi.org/10.1038/s41422-024-00936-1

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