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Correction to: The role of machine learning in clinical research: transforming the future of evidence generation
Trials ( IF 2.5 ) Pub Date : 2021-09-06 , DOI: 10.1186/s13063-021-05571-4
E Hope Weissler 1 , Tristan Naumann 2 , Tomas Andersson 3 , Rajesh Ranganath 4 , Olivier Elemento 5 , Yuan Luo 6 , Daniel F Freitag 7 , James Benoit 8 , Michael C Hughes 9 , Faisal Khan 3 , Paul Slater 10 , Khader Shameer 3 , Matthew Roe 11 , Emmette Hutchison 3 , Scott H Kollins 1 , Uli Broedl 12 , Zhaoling Meng 13 , Jennifer L Wong 14 , Lesley Curtis 1 , Erich Huang 1, 15 , Marzyeh Ghassemi 16, 17, 18, 19
Affiliation  

Correction to: Trials 22, 537 (2021)

https://doi.org/10.1186/s13063-021-05489-x

Following the publication of the original article [1], we were notified that current affiliations 17, 18 and 19 were erroneously added to the first author rather than the senior author (Marzyeh Ghassemi).

The original article has now been corrected.

  1. 1.

    Weissler, et al. The role of machine learning in clinical research: transforming the future of evidence generation. Trials. 2021;22:537. https://doi.org/10.1186/s13063-021-05489-x.

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Affiliations

  1. Duke Clinical Research Institute, Duke University School of Medicine, Box 2834, Durham, NC, 27701, USA

    E. Hope Weissler, Scott H. Kollins, Lesley Curtis & Erich Huang

  2. Microsoft Research, Cambridge, MA, USA

    Tristan Naumann

  3. AstraZeneca, Gothenburg, Sweden

    Tomas Andersson, Faisal Khan, Khader Shameer & Emmette Hutchison

  4. Courant Institute of Mathematical Science, New York University, New York, NY, USA

    Rajesh Ranganath

  5. Englander Institute for Precision Medicine, Weill Cornell Medical College, New York, NY, USA

    Olivier Elemento

  6. Northwestern University Clinical and Translational Sciences Institute, Northwestern University, Chicago, IL, USA

    Yuan Luo

  7. Division Pharmaceuticals, Open Innovation and Digital Technologies, Bayer AG, Wuppertal, Germany

    Daniel F. Freitag

  8. University of Alberta, Edmonton, Alberta, Canada

    James Benoit

  9. Department of Computer Science, Tufts University, Medford, MA, USA

    Michael C. Hughes

  10. Billion Minds, Inc., Seattle, WA, USA

    Paul Slater

  11. Verana Health, San Francisco, CA, USA

    Matthew Roe

  12. Boehringer-Ingelheim, Burlington, Canada

    Uli Broedl

  13. Sanofi, Cambridge, MA, USA

    Zhaoling Meng

  14. Sanofi, Washington, DC, USA

    Jennifer L. Wong

  15. Duke Forge, Durham, NC, USA

    Erich Huang

  16. Vector Institute, University of Toronto, Toronto, Ontario, Canada

    Marzyeh Ghassemi

  17. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA

    Marzyeh Ghassemi

  18. Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA

    Marzyeh Ghassemi

  19. CIFAR AI Chair, Vector Institute, Toronto, Ontario, Canada

    Marzyeh Ghassemi

Authors
  1. E. Hope WeisslerView author publications

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  2. Tristan NaumannView author publications

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  3. Tomas AnderssonView author publications

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  4. Rajesh RanganathView author publications

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  5. Olivier ElementoView author publications

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  6. Yuan LuoView author publications

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  7. Daniel F. FreitagView author publications

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  8. James BenoitView author publications

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  9. Michael C. HughesView author publications

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  10. Faisal KhanView author publications

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  11. Paul SlaterView author publications

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  12. Khader ShameerView author publications

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  13. Matthew RoeView author publications

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  14. Emmette HutchisonView author publications

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  15. Scott H. KollinsView author publications

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  16. Uli BroedlView author publications

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  17. Zhaoling MengView author publications

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  18. Jennifer L. WongView author publications

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  19. Lesley CurtisView author publications

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  20. Erich HuangView author publications

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  21. Marzyeh GhassemiView author publications

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Corresponding author

Correspondence to E. Hope Weissler.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Weissler, E.H., Naumann, T., Andersson, T. et al. Correction to: The role of machine learning in clinical research: transforming the future of evidence generation. Trials 22, 593 (2021). https://doi.org/10.1186/s13063-021-05571-4

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  • DOI: https://doi.org/10.1186/s13063-021-05571-4



中文翻译:

更正:机器学习在临床研究中的作用:改变证据生成的未来

更正:Trials 22, 537 (2021)

https://doi.org/10.1186/s13063-021-05489-x

在原始文章 [1] 发表后,我们被告知当前的隶属关系 17、18 和 19 被错误地添加到第一作者而不是资深作者 (Marzyeh Ghassemi)。

原文章现已更正。

  1. 1.

    韦斯勒等人。机器学习在临床研究中的作用:改变证据生成的未来。试炼。2021;22:537。https://doi.org/10.1186/s13063-021-05489-x。

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隶属关系

  1. 杜克大学医学院杜克临床研究所,Box 2834, Durham, NC, 27701, USA

    E. Hope Weissler, Scott H. Kollins, Lesley Curtis & Erich Huang

  2. 微软研究院,美国马萨诸塞州剑桥

    特里斯坦·瑙曼

  3. 阿斯利康,瑞典哥德堡

    托马斯·安德森、费萨尔·汗、卡德尔·沙米尔和埃米特·哈奇森

  4. Courant 数学科学研究所,纽约大学,纽约,纽约,美国

    拉杰什·兰加纳斯

  5. 美国纽约州纽约威尔康奈尔医学院英格兰精准医学研究所

    奥利维尔·元素托

  6. 西北大学临床和转化科学研究所,西北大学,芝加哥,伊利诺伊州,美国

    罗元

  7. 德国伍珀塔尔拜耳股份公司制药、开放式创新和数字技术部门

    丹尼尔·F·弗赖塔格

  8. 加拿大阿尔伯塔省埃德蒙顿阿尔伯塔大学

    詹姆斯·班诺特

  9. 美国马萨诸塞州梅德福塔夫茨大学计算机科学系

    迈克尔·C·休斯

  10. Billion Minds, Inc.,美国华盛顿州西雅图市

    保罗·斯莱特

  11. Verana Health,旧金山,加利福尼亚,美国

    马修·罗

  12. 勃林格殷格翰,伯灵顿,加拿大

    乌利·布罗德尔

  13. 美国马萨诸塞州剑桥市赛诺菲

    孟兆玲

  14. 美国华盛顿特区赛诺菲

    珍妮弗·L·黄

  15. Duke Forge,达勒姆,北卡罗来纳州,美国

    黄奕

  16. 加拿大安大略省多伦多市多伦多大学矢量研究所

    玛兹耶·加塞米

  17. 麻省理工学院电气工程与计算机科学系,剑桥,马萨诸塞州,02139,美国

    玛兹耶·加塞米

  18. 麻省理工学院医学工程与科学研究所,马萨诸塞州剑桥市,02139,美国

    玛兹耶·加塞米

  19. 加拿大安大略省多伦多矢量研究所 CIFAR AI 主席

    玛兹耶·加塞米

作者
  1. E. Hope Weissler查看作者出版物

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  2. Tristan Naumann查看作者出版物

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  3. Tomas Andersson查看作者出版物

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  4. Rajesh Ranganath查看作者出版物

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  5. Olivier Elemento查看作者出版物

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  6. 罗元查看作者出版物

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  7. Daniel F. Freitag查看作者出版物

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  8. James Benoit查看作者出版物

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  9. Michael C. Hughes查看作者出版物

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  10. Faisal Khan查看作者出版物

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  11. Paul Slater查看作者出版物

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  12. Khader Shameer查看作者出版物

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  13. Matthew Roe查看作者出版物

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  14. Emmette Hutchison查看作者出版物

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  15. Scott H. Kollins查看作者出版物

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  16. Uli Broedl查看作者出版物

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  17. 孟兆玲查看作者出版物

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  18. Jennifer L. Wong查看作者出版物

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  19. Lesley Curtis查看作者出版物

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  20. Erich Huang查看作者出版物

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  21. Marzyeh Ghassemi查看作者出版物

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通讯作者

与 E. Hope Weissler 的通信。

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引用这篇文章

Weissler, EH, Naumann, T., Andersson, T.等。更正:机器学习在临床研究中的作用:改变证据生成的未来。试验 22, 593 (2021)。https://doi.org/10.1186/s13063-021-05571-4

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  • DOI : https://doi.org/10.1186/s13063-021-05571-4

更新日期:2021-09-06
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