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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Estimating clear cell renal cell carcinoma transcriptomic signatures using machine learning and histopathology images.
 
Saeed Hassanpour
No Relationships to Disclose
 
Naofumi Tomita
No Relationships to Disclose
 
Ritesh Kotecha
Consulting or Advisory Role - Eisai
Research Funding - Pfizer (Inst); Takeda (Inst)
 
Chung-Han Lee
Honoraria - American Institute of Continuing Medical Education; Intellisphere; Research to Practice
Consulting or Advisory Role - Bristol-Myers Squibb; Eisai; Exelixis; Merck; Pfizer/EMD Serono
Research Funding - Bristol-Myers Squibb (Inst); Calithera Biosciences (Inst); Eisai (Inst); Exelixis (Inst); Merck (Inst)