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Authors
Nauffal, Victor http://orcid.org/0000-0001-7199-299X
Klarqvist, Marcus D. R.
Hill, Matthew C.
Pace, Danielle F. http://orcid.org/0000-0002-5428-9538
Di Achille, Paolo
Choi, Seung Hoan
Rämö, Joel T. http://orcid.org/0000-0002-6429-5149
Pirruccello, James P.
Singh, Pulkit
Kany, Shinwan
Hou, Cody
Ng, Kenney http://orcid.org/0000-0003-0792-070X
Philippakis, Anthony A. http://orcid.org/0000-0001-6953-3794
Batra, Puneet http://orcid.org/0000-0001-6822-0593
Lubitz, Steven A. http://orcid.org/0000-0002-9599-4866
Ellinor, Patrick T. http://orcid.org/0000-0002-2067-0533
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Funding
Funding for this research was provided by:
Foundation for the National Institutes of Health (1RO1HL092577, 1R01HL157635, 5R01HL139731, T32HL007604)
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Article History
Received: 5 September 2023
Accepted: 22 April 2024
First Online: 28 May 2024
Competing interests
: M.D.R.K., P.D.A and P.B. are supported by grants from Bayer AG and IBM applying machine learning in cardiovascular disease. P.B. has consulted for Novartis and Prometheus Biosciences. P.B. is now employed by Flagship Pioneering. P.D.A. is now employed by Google. S.A.L. is now employed by Novartis. S.A.L. received sponsored research support from Bristol Myers Squibb/Pfizer, Bayer AG, Boehringer Ingelheim, Fitbit and IBM, and has consulted for Bristol Myers Squibb/Pfizer, Bayer AG, Blackstone Life Sciences and Invitae previously. P.T.E. receives sponsored research support from Bayer AG, IBM Research, Bristol Myers Squibb, Pfizer and Novo Nordisk; and has also served on advisory boards or consulted for MyoKardia and Bayer AG. The remaining authors declare no competing interests.
