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Transfer learning identifies bacterial signatures for cross‐regional diagnosis of type 2 diabetes and enable stage‐sensitive dietary fiber intervention.

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Title: Transfer learning identifies bacterial signatures for cross‐regional diagnosis of type 2 diabetes and enable stage‐sensitive dietary fiber intervention.
Authors: Zhang, Qunye1 (AUTHOR), Wang, Nan2 (AUTHOR), Zhang, Fanghua3 (AUTHOR), Chen, Bin1 (AUTHOR), Wang, Yihui1 (AUTHOR), Wang, Zhongchao4 (AUTHOR), Zhao, Changying1 (AUTHOR), Jin, Chuandi1 (AUTHOR), Sheng, Dashuang1 (AUTHOR), Yue, Kaile1 (AUTHOR), Jiang, Daifeng5 (AUTHOR), Gao, Liaomei6 (AUTHOR), Zhang, Haohong2 (AUTHOR), Kang, Zixin2 (AUTHOR), Cheng, Mingyue2 (AUTHOR), Ma, Xiaoli7 (AUTHOR), Wang, Haiyan8 (AUTHOR), Hu, Dongming4 (AUTHOR), Wang, Jun4 (AUTHOR), Liu, Yuantao9 (AUTHOR)
Source: iMetaOmics. Jun2025, Vol. 2 Issue 2, p1-8. 8p.
Database: Academic Search Ultimate
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  Data: Transfer learning identifies bacterial signatures for cross‐regional diagnosis of type 2 diabetes and enable stage‐sensitive dietary fiber intervention.
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  Data: <searchLink fieldCode="JN" term="%22iMetaOmics%22">iMetaOmics</searchLink>. Jun2025, Vol. 2 Issue 2, p1-8. 8p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185726583
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              Text: Jun2025
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