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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Prediction of early progression (EP) to CDKIs first line treatment in ER+/HER2- metastatic breast cancer (MBC) using machine learning.
 
Jose Manuel Jerez
Research Funding - Pfizer (Inst)
 
Nuria Ribelles
Research Funding - Pfizer (Inst)
 
Pablo Rodriguez-Brazzarola
Research Funding - Pfizer (Inst)
 
Tamara Diaz Redondo
No Relationships to Disclose
 
Begoña Jimenez Rodriguez
No Relationships to Disclose
 
Alfonso Sanchez-Muñoz
No Relationships to Disclose
 
Antonia Marquez
No Relationships to Disclose
 
Francisco Carabantes
No Relationships to Disclose
 
Bella Pajares
No Relationships to Disclose
 
Ester Villar
No Relationships to Disclose
 
Maria-Jose Bermejo-Perez
No Relationships to Disclose
 
Enrique Saez Lara
No Relationships to Disclose
 
Maria Emilia Dominguez-Recio
No Relationships to Disclose
 
Ana Godoy
No Relationships to Disclose
 
Hector Mesa
No Relationships to Disclose
 
Laura Galvez Carvajal
No Relationships to Disclose
 
Leo Franco
No Relationships to Disclose
 
Sofía Ruíz
No Relationships to Disclose
 
Irene López
No Relationships to Disclose
 
Emilio Alba
Consulting or Advisory Role - Bristol-Myers Squibb; Genomic Health; Lilly; NanoString Technologies; Novartis; Pfizer; Roche
Travel, Accommodations, Expenses - Merck Sharp & Dohme