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An interpretable multi‐task whole‐slide histopathology AI model for non‐small cell lung cancer: Cross‐cohort generalisation, spatial attention–transcriptomic integration, and molecular–immune profiling.

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Title: An interpretable multi‐task whole‐slide histopathology AI model for non‐small cell lung cancer: Cross‐cohort generalisation, spatial attention–transcriptomic integration, and molecular–immune profiling.
Authors: Lu, Renyi1 (AUTHOR), Lin, Anqi1 (AUTHOR), Jiang, Aimin2 (AUTHOR), Feng, Yuying1 (AUTHOR), Fang, Xiuhui3 (AUTHOR), Shen, Junyi1 (AUTHOR), Bai, Yifeng4 (AUTHOR), Peng, Shengkun5 (AUTHOR), Zhang, Jian6 (AUTHOR), Cheng, Quan7,8 (AUTHOR) chengquan@csu.edu.cn, Feng, Suyin9 (AUTHOR) fengsuyin@njmu.edu.cn, Li, Qinglin1 (AUTHOR) liqinglin0709@163.com, Luo, Peng1,10,11 (AUTHOR) luopeng@smu.edu.cn
Source: Clinical & Translational Medicine. Jul2026, Vol. 16 Issue 7, p1-33. 33p.
Database: Academic Search Ultimate
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        Value: 10.1002/ctm2.70744
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      – TitleFull: An interpretable multi‐task whole‐slide histopathology AI model for non‐small cell lung cancer: Cross‐cohort generalisation, spatial attention–transcriptomic integration, and molecular–immune profiling.
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              Text: Jul2026
              Type: published
              Y: 2026
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