2815P Explainable AI model for cancer prognosis using weighted analysis of patient-reported outcomes (PROs)
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Author(s):
E. Núñez Berrueco, L.D. Garma, S. Pernas Simon, D. Vicente Baz, M.R. Garcia Campelo, M. Fernandez Bruno, J. Terrasa, A. Perello Martorell, D. Jimenez, R. Vera, B. Bermejo, S. Gonzalez, J.A. Guerra Martínez, A. Morillas, A. López-Alonso, B. Nasarra-Lopez, R. Colomer Bosch, A. Artes-Rodriguez, A. Rodríguez-Patón, M. Quintela-Fandino
Published in:
Annals of Oncology, Issue 36, 2026, ISSN 0923-7534
Publisher:
Elsevier BV
DOI:
10.1016/J.ANNONC.2025.08.3427
Remote physiologic and behavioral monitoring to predict early treatment response in metastatic cancer: High-Definition Oncology study (HDOs) preliminary results.
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Author(s):
Leire Paz-Arbaizar, María Sauras, Sonia Pernas, David Vicente, Rosario Garcia-Campelo, Josefa Terrasa, Ramon Colomer Bosch, Ruth Vera, Desirée Jiménez, Santiago Gonzalez- Santiago, Begona Bermejo, Antonio López-Alonso, Berta Nasarre, Leonardo Garma, Pablo Martínez Olmos, Antonio Artés Rodríguez, Miguel Quintela-Fandino
Published in:
Journal of Clinical Oncology, Issue 43, 2025, ISSN 0732-183X
Publisher:
American Society of Clinical Oncology (ASCO)
DOI:
10.1200/JCO.2025.43.16_SUPPL.1651