- Correspondence on Letter regarding “Toward hepatitis C virus elimination using artificial intelligence”
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Lu MY, Yu ML
- KMID: 2554435
- Clin Mol Hepatol.
- 2024 Apr;30(2):274-275.
- doi: 10.3350/cmh.2024.0152
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- Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
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Lu MY, Huang CF, Hung CH, Tai C, Mo LR, Kuo HT, Tseng KC, Lo CC, Bair MJ, Wang SJ, Huang JF, Yeh ML, Chen CT, Tsai MC, Huang CW, Lee PL, Yang TH, Huang YH, Chong LW, Chen CL, Yang CC, Yang S, Cheng PN, Hsieh TY, Hu JT, Wu WC, Cheng CY, Chen GY, Zhou GX, Tsai WL, Kao CN, Lin CL, Wang CC, Lin TY, Lin C, Su WW, Lee TH, Chang TS, Liu CJ, Dai CY, Kao JH, Lin HC, Chuang WL, Peng CY, Tsai CW, Chen CY, Yu ML, TACR Study Group
- KMID: 2549384
- Clin Mol Hepatol.
- 2024 Jan;30(1):64-79.
- doi: 10.3350/cmh.2023.0287
Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to... -
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