Publications:

Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms.

Biodata Mining

Ou, Shuo-Ming SM; Tsai, Ming-Tsun MT; Lee, Kuo-Hua KH; Tseng, Wei-Cheng WC; Yang, Chih-Yu CY; Chen, Tz-Heng TH; Bin, Pin-Jie PJ; Chen, Tzeng-Ji TJ; Lin, Yao-Ping YP; Sheu, Wayne Huey-Herng WH; Chu, Yuan-Chia YC; Tarng, Der-Cherng DC

Publication Date: 2023-03-10

Variant appearance in text: SI: V109E

PubMed Link: 36899426

Variant Present in the following documents:

• 13040_2023_Article_324.pdf

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Sepsis and the Risks of Long-Term Renal Adverse Outcomes in Patients With Chronic Kidney Disease.

Frontiers In Medicine

Ou, Shuo-Ming SM; Lee, Kuo-Hua KH; Tsai, Ming-Tsun MT; Tseng, Wei-Cheng WC; Chu, Yuan-Chia YC; Tarng, Der-Cherng DC

Publication Date: 2022

Variant appearance in text: SI: V109E

PubMed Link: 35280875

Variant Present in the following documents:

• fmed-09-809292.pdf

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Point Mutations Lead to Increased Levels of c-di-GMP and Phenotypic Changes to the Colony Biofilm Morphology in Alcanivorax borkumensis SK2.

Microbes And Environments

Prasad, Manoj M; Obana, Nozomu N; Sakai, Kaori K; Nagakubo, Toshiki T; Miyazaki, Shun S; Toyofuku, Masanori M; Fattaccioli, Jacques J; Nomura, Nobuhiko N; Utada, Andrew S AS

Publication Date: 2019-03-30

Variant appearance in text: SI: V109E

PubMed Link: 30773505

Variant Present in the following documents:

• Main text
• 34_104.pdf

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