| Prediction of irinotecan toxicity in metastatic colorectal cancer patients based on machine learning models with pharmacokinetic parameters E Oyaga-Iriarte, A Insausti, O Sayar, A Aldaz Journal of pharmacological sciences 140 (1), 20-25, 2019 | 43 | 2019 |
| Role of intraretinal and subretinal fluid on clinical and anatomical outcomes in patients with neovascular age‐related macular degeneration treated with bimonthly, treat‐and … M Saenz‐de‐Viteri, S Recalde, P Fernandez‐Robredo, MI López Gálvez, ... Acta ophthalmologica 99 (8), 861-870, 2021 | 22 | 2021 |
| Use of machine-learning algorithms in intensified preoperative therapy of pancreatic cancer to predict individual risk of relapse P Sala Elarre, E Oyaga-Iriarte, KH Yu, V Baudin, L Arbea Moreno, ... Cancers 11 (5), 606, 2019 | 22 | 2019 |
| Omics approaches in pancreatic adenocarcinoma I González-Borja, A Viúdez, S Goñi, E Santamaria, E Carrasco-García, ... Cancers 11 (8), 1052, 2019 | 14 | 2019 |
| Population pharmacokinetic model of irinotecan and its metabolites in patients with metastatic colorectal cancer E Oyaga-Iriarte, A Insausti, O Sayar, A Aldaz European journal of clinical pharmacology 75 (4), 529-542, 2019 | 9 | 2019 |
| Mining small routine clinical data: a population pharmacokinetic model and optimal sampling times of capecitabine and its metabolites E Oyaga-Iriarte, A Insausti, L Bueno, O Sayar, A Aldaz University of Alberta Libraries, 2019 | 4 | 2019 |
| Optimización de tratamientos con irinotecan y capecitabina en pacientes con cáncer colorrectar basada en técnicas de farmacocinética e inteligencia artificial E Oyaga-Iriarte | 1 | 2020 |
| Omics approaches in pancreatic adenocarcinoma I Gonzalez, A Viúdez, S Goñi, E Santamaria, E García, J Pérez-Sanz, ... MDPI AG, 2019 | | 2019 |
