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Page 1
Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction.
Miyazawa K, Ito K, Ito M, Zou Z, Kubota M, Nomura S, Matsunaga H, Koyama S, Ieki H, Akiyama M, Koike Y, Kurosawa R, Yoshida H, Ozaki K, Onouchi Y; BioBank Japan Project; Takahashi A, Matsuda K, Murakami Y, Aburatani H, Kubo M, Momozawa Y, Terao C, Oki S, Akazawa H, Kamatani Y, Komuro I. Miyazawa K, et al. Among authors: ieki h. Nat Genet. 2023 Feb;55(2):187-197. doi: 10.1038/s41588-022-01284-9. Epub 2023 Jan 19. Nat Genet. 2023. PMID: 36653681 Free PMC article.
Population-specific and trans-ancestry genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease.
Koyama S, Ito K, Terao C, Akiyama M, Horikoshi M, Momozawa Y, Matsunaga H, Ieki H, Ozaki K, Onouchi Y, Takahashi A, Nomura S, Morita H, Akazawa H, Kim C, Seo JS, Higasa K, Iwasaki M, Yamaji T, Sawada N, Tsugane S, Koyama T, Ikezaki H, Takashima N, Tanaka K, Arisawa K, Kuriki K, Naito M, Wakai K, Suna S, Sakata Y, Sato H, Hori M, Sakata Y, Matsuda K, Murakami Y, Aburatani H, Kubo M, Matsuda F, Kamatani Y, Komuro I. Koyama S, et al. Among authors: ieki h. Nat Genet. 2020 Nov;52(11):1169-1177. doi: 10.1038/s41588-020-0705-3. Epub 2020 Oct 5. Nat Genet. 2020. PMID: 33020668
Transethnic Meta-Analysis of Genome-Wide Association Studies Identifies Three New Loci and Characterizes Population-Specific Differences for Coronary Artery Disease.
Matsunaga H, Ito K, Akiyama M, Takahashi A, Koyama S, Nomura S, Ieki H, Ozaki K, Onouchi Y, Sakaue S, Suna S, Ogishima S, Yamamoto M, Hozawa A, Satoh M, Sasaki M, Yamaji T, Sawada N, Iwasaki M, Tsugane S, Tanaka K, Arisawa K, Ikezaki H, Takashima N, Naito M, Wakai K, Tanaka H, Sakata Y, Morita H, Sakata Y, Matsuda K, Murakami Y, Akazawa H, Kubo M, Kamatani Y, Komuro I. Matsunaga H, et al. Among authors: ieki h. Circ Genom Precis Med. 2020 Jun;13(3):e002670. doi: 10.1161/CIRCGEN.119.002670. Epub 2020 May 29. Circ Genom Precis Med. 2020. PMID: 32469254 Free article. Clinical Trial.
Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis.
Ieki H, Ito K, Saji M, Kawakami R, Nagatomo Y, Takada K, Kariyasu T, Machida H, Koyama S, Yoshida H, Kurosawa R, Matsunaga H, Miyazawa K, Ozaki K, Onouchi Y, Katsushika S, Matsuoka R, Shinohara H, Yamaguchi T, Kodera S, Higashikuni Y, Fujiu K, Akazawa H, Iguchi N, Isobe M, Yoshikawa T, Komuro I. Ieki H, et al. Commun Med (Lond). 2022 Dec 9;2(1):159. doi: 10.1038/s43856-022-00220-6. Commun Med (Lond). 2022. PMID: 36494479 Free PMC article.
Erratum: Diagnosing Heart Failure from Chest X-Ray Images Using Deep Learning.
Matsumoto T, Kodera S, Shinohara H, Ieki H, Yamaguchi T, Higashikuni Y, Kiyosue A, Ito K, Ando J, Takimoto E, Akazawa H, Morita H, Komuro I. Matsumoto T, et al. Among authors: ieki h. Int Heart J. 2020;61(5):1088. doi: 10.1536/ihj.61-5_Errata. Int Heart J. 2020. PMID: 32999191 Free article.
Diagnosing Heart Failure from Chest X-Ray Images Using Deep Learning.
Matsumoto T, Kodera S, Shinohara H, Ieki H, Yamaguchi T, Higashikuni Y, Kiyosue A, Ito K, Ando J, Takimoto E, Akazawa H, Morita H, Komuro I. Matsumoto T, et al. Among authors: ieki h. Int Heart J. 2020 Jul 30;61(4):781-786. doi: 10.1536/ihj.19-714. Epub 2020 Jul 18. Int Heart J. 2020. PMID: 32684597 Free article.
Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies.
Katsushika S, Kodera S, Nakamoto M, Ninomiya K, Kakuda N, Shinohara H, Matsuoka R, Ieki H, Uehara M, Higashikuni Y, Nakanishi K, Nakao T, Takeda N, Fujiu K, Daimon M, Ando J, Akazawa H, Morita H, Komuro I. Katsushika S, et al. Among authors: ieki h. Circ J. 2021 Dec 24;86(1):87-95. doi: 10.1253/circj.CJ-21-0265. Epub 2021 Jun 26. Circ J. 2021. PMID: 34176867 Free article.
The Effectiveness of a Deep Learning Model to Detect Left Ventricular Systolic Dysfunction from Electrocardiograms.
Katsushika S, Kodera S, Nakamoto M, Ninomiya K, Inoue S, Sawano S, Kakuda N, Takiguchi H, Shinohara H, Matsuoka R, Ieki H, Higashikuni Y, Nakanishi K, Nakao T, Seki T, Takeda N, Fujiu K, Daimon M, Akazawa H, Morita H, Komuro I. Katsushika S, et al. Among authors: ieki h. Int Heart J. 2021;62(6):1332-1341. doi: 10.1536/ihj.21-407. Int Heart J. 2021. PMID: 34853226 Free article.
Triglyceride Lowering with Pemafibrate to Reduce Cardiovascular Risk.
Das Pradhan A, Glynn RJ, Fruchart JC, MacFadyen JG, Zaharris ES, Everett BM, Campbell SE, Oshima R, Amarenco P, Blom DJ, Brinton EA, Eckel RH, Elam MB, Felicio JS, Ginsberg HN, Goudev A, Ishibashi S, Joseph J, Kodama T, Koenig W, Leiter LA, Lorenzatti AJ, Mankovsky B, Marx N, Nordestgaard BG, Páll D, Ray KK, Santos RD, Soran H, Susekov A, Tendera M, Yokote K, Paynter NP, Buring JE, Libby P, Ridker PM; PROMINENT Investigators. Das Pradhan A, et al. N Engl J Med. 2022 Nov 24;387(21):1923-1934. doi: 10.1056/NEJMoa2210645. Epub 2022 Nov 5. N Engl J Med. 2022. PMID: 36342113 Clinical Trial.
29 results