The following represents disclosure information provided by authors of this abstract. The program committee has reviewed all presenting author disclosure reports, identified potential conflicts of interest, and implemented strategies to manage those areas of conflict, where appropriate. All relationships are considered compensated. Relationships are self-held unless otherwise noted. I = Immediate Family Member, Inst = My Institution
 
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Deep learning for improved prediction of late-onset cardiomyopathy among childhood cancer survivors: A report from the St. Jude Lifetime Cohort (SJLIFE).
 
Fatma Gunturkun
No Relationships to Disclose
 
Robert L Davis
No Relationships to Disclose
 
Gregory T. Armstrong
No Relationships to Disclose
 
John L. Jefferies
Honoraria - Abbott Diagnostics; Amicus Therapeutics; Genzyme; Pfizer
Consulting or Advisory Role - Abbott Diagnostics; Amicus Therapeutics
Speakers' Bureau - Ambry Genetics; Genzyme; Pfizer
Research Funding - Innolife (Inst); Medtronic (Inst); Myokardia (Inst); Relypsa (Inst); Sanofi (Inst)
Travel, Accommodations, Expenses - Abbott Diagnostics; Amicus Therapeutics; Genzyme; Protagonist Therapeutics
 
Kirsten K. Ness
No Relationships to Disclose
 
Daniel M. Green
No Relationships to Disclose
 
John Thomas Lucas
No Relationships to Disclose
 
Deokumar Srivastava
No Relationships to Disclose
 
Melissa M. Hudson
Consulting or Advisory Role - Oncology Research Information Exchange Network; Princess Máxima Center; SurvivorLink
 
Leslie L. Robison
No Relationships to Disclose
 
Daniel A. Mulrooney
No Relationships to Disclose
 
Elsayed Z Soliman
No Relationships to Disclose
 
Ibrahim Karabayir
No Relationships to Disclose
 
Oguz Akbilgic
No Relationships to Disclose