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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Using machine learning-based boosting algorithm to predict hepatotoxicity after local therapy and association with survival in patients undergoing liver directed therapy.
 
Allen Mo
No Relationships to Disclose
 
Christian Velten
No Relationships to Disclose
 
Justin Tang
No Relationships to Disclose
 
Nitin Ohri
Consulting or Advisory Role - Genentech; Merck
Research Funding - AstraZeneca; Merck (Inst); Reflexion Medical (Inst)
 
Shalom Kalnicki
Travel, Accommodations, Expenses - Elekta
 
Parsa Mirhaji
No Relationships to Disclose
 
Andreas Kaubisch
No Relationships to Disclose
 
Selvin Soby
No Relationships to Disclose
 
Alexandre Peshansky
No Relationships to Disclose
 
Erin Henninger
No Relationships to Disclose
 
Madhur Garg
No Relationships to Disclose
 
Chandan Guha
Consulting or Advisory Role - Focused Ultrasound Foundation; Johnson & Johnson; Varian Medical Systems
Research Funding - Celldex; Johnson & Johnson; Myelo Therapeutics GmbH (Inst)
Patents, Royalties, Other Intellectual Property - Montefiore Medical Center
 
Rafi Kabarriti
No Relationships to Disclose