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Whole genome association study of rheumatoid arthritis using 27 039 microsatellites.
Tamiya G, Shinya M, Imanishi T, Ikuta T, Makino S, Okamoto K, Furugaki K, Matsumoto T, Mano S, Ando S, Nozaki Y, Yukawa W, Nakashige R, Yamaguchi D, Ishibashi H, Yonekura M, Nakami Y, Takayama S, Endo T, Saruwatari T, Yagura M, Yoshikawa Y, Fujimoto K, Oka A, Chiku S, Linsen SE, Giphart MJ, Kulski JK, Fukazawa T, Hashimoto H, Kimura M, Hoshina Y, Suzuki Y, Hotta T, Mochida J, Minezaki T, Komai K, Shiozawa S, Taniguchi A, Yamanaka H, Kamatani N, Gojobori T, Bahram S, Inoko H. Tamiya G, et al. Among authors: yoshikawa y. Hum Mol Genet. 2005 Aug 15;14(16):2305-21. doi: 10.1093/hmg/ddi234. Epub 2005 Jul 6. Hum Mol Genet. 2005. PMID: 16000323
Prognostic significance of baseline low-density lipoprotein cholesterol in patients undergoing coronary revascularization; a report from the CREDO-Kyoto registry.
Kanenawa K, Yamaji K, Morimoto T, Yamamoto K, Domei T, Hyodo M, Shiomi H, Furukawa Y, Nakagawa Y, Kadota K, Watanabe H, Yoshikawa Y, Tada T, Tazaki J, Ehara N, Taniguchi R, Tamura T, Iwakura A, Tada T, Suwa S, Toyofuku M, Inada T, Kaneda K, Ogawa T, Takeda T, Sakai H, Yamamoto T, Tambara K, Esaki J, Eizawa H, Yamada M, Shinoda E, Nishizawa J, Mabuchi H, Tamura N, Shirotani M, Nakayama S, Uegaito T, Matsuda M, Takahashi M, Inoko M, Kanemitsu N, Tamura T, Ishii K, Nawada R, Onodera T, Ohno N, Koyama T, Tsuneyoshi H, Sakamoto H, Aoyama T, Miki S, Tanaka M, Sato Y, Yamazaki F, Hanyu M, Soga Y, Komiya T, Minatoya K, Ando K, Kimura T. Kanenawa K, et al. Among authors: yoshikawa y. J Cardiol. 2024 Jun 11:S0914-5087(24)00100-X. doi: 10.1016/j.jjcc.2024.05.011. Online ahead of print. J Cardiol. 2024. PMID: 38871119
Synthetic aporphine alkaloids are potential therapeutics for Leigh syndrome.
Kobayashi M, Miyauchi A, Jimbo EF, Oishi N, Aoki S, Watanabe M, Yoshikawa Y, Akiyama Y, Yamagata T, Osaka H. Kobayashi M, et al. Among authors: yoshikawa y. Sci Rep. 2024 May 21;14(1):11561. doi: 10.1038/s41598-024-62445-w. Sci Rep. 2024. PMID: 38773300 Free PMC article.
Development of interpretable machine learning models to predict in-hospital prognosis of acute heart failure patients.
Tanaka M, Kohjitani H, Yamamoto E, Morimoto T, Kato T, Yaku H, Inuzuka Y, Tamaki Y, Ozasa N, Seko Y, Shiba M, Yoshikawa Y, Yamashita Y, Kitai T, Taniguchi R, Iguchi M, Nagao K, Kawai T, Komasa A, Kawase Y, Morinaga T, Toyofuku M, Furukawa Y, Ando K, Kadota K, Sato Y, Kuwahara K, Okuno Y, Kimura T, Ono K; KCHF Study Investigators. Tanaka M, et al. Among authors: yoshikawa y. ESC Heart Fail. 2024 May 15. doi: 10.1002/ehf2.14834. Online ahead of print. ESC Heart Fail. 2024. PMID: 38751135 Free article.
1,682 results