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Machine learning for individualized prediction of hepatocellular carcinoma development after the eradication of hepatitis C virus with antivirals.
Minami T, Sato M, Toyoda H, Yasuda S, Yamada T, Nakatsuka T, Enooku K, Nakagawa H, Fujinaga H, Izumiya M, Tanaka Y, Otsuka M, Ohki T, Arai M, Asaoka Y, Tanaka A, Yasuda K, Miura H, Ogata I, Kamoshida T, Inoue K, Nakagomi R, Akamatsu M, Mitsui H, Fujie H, Ogura K, Uchino K, Yoshida H, Hanajiri K, Wada T, Kurai K, Maekawa H, Kondo Y, Obi S, Teratani T, Masaki N, Nagashima K, Ishikawa T, Kato N, Yotsuyanagi H, Moriya K, Kumada T, Fujishiro M, Koike K, Tateishi R. Minami T, et al. Among authors: yasuda k, yasuda s. J Hepatol. 2023 Jun 24:S0168-8278(23)00424-5. doi: 10.1016/j.jhep.2023.05.042. Online ahead of print. J Hepatol. 2023. PMID: 37716372
High ability to predict the treatment outcome of peginterferon and ribavirin combination therapy based on the reduction in HCV RNA levels at 4 weeks after starting therapy and amino acid substitutions in the hepatitis C virus in patients infected with HCV genotype 1b.
Toyoda H, Kumada T, Kiriyama S, Tanikawa M, Hisanaga Y, Kanamori A, Tada T, Arakawa T, Fujimori M, Niinomi T, Ando N, Yasuda S, Sakai K, Kimura J. Toyoda H, et al. Among authors: yasuda s. J Gastroenterol. 2011 Apr;46(4):501-9. doi: 10.1007/s00535-010-0328-z. Epub 2010 Oct 7. J Gastroenterol. 2011. PMID: 20927636
2,598 results