Machine learning guided prediction of warfarin blood levels for personalized medicine based on clinical longitudinal data from cardiac surgery patients: a prospective … L Xue, S He, RK Singla, Q Qin, Y Ding, L Liu, X Ding, H Bediaga-Bañeres, ... International Journal of Surgery, 10.1097, 2024 | | 2024 |
On the additive artificial intelligence-based discovery of nanoparticle neurodegenerative disease drug delivery systems S He, JS Abarrategi, H Bediaga, S Arrasate, H González-Díaz Beilstein Journal of Nanotechnology 15 (1), 535-555, 2024 | | 2024 |
NANO. PTML Model for read-across prediction of nanosystems in neurosciences. Computational model and experimental case of study S He, K Nader, JS Abarrategi, H Bediaga, D Nocedo-Mena, E Ascencio, ... | | 2024 |
Warfarin-A Natural Anticoagulant: A Review of Research Trends for Precision Medication L Xue, RK Singla, S He, S Arrasate, H González-Díaz, L Miao, B Shen Phytomedicine, 155479, 2024 | | 2024 |
MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products P Carracedo-Reboredo, E Aranzamendi, S He, S Arrasate, CR Munteanu, ... Journal of Cheminformatics 16 (1), 9, 2024 | | 2024 |
AIMOFGIFT: Towards AI-Driven Metal Organic Framework Drug Delivery Systems Design B Bilbao, S He, S Arrasate, H Gonzalez-Diaz MDPI, 2023 | | 2023 |
MATEO HPTML model data P Carracedo Reboredo, E Aranzamendi, S He, S Arrasate, CR Munteanu, ... MATEO HPTML model data, 2023 | | 2023 |
PTML Artificial Neural Network Chemoinformatics classification model for enantioselective reactions. S He, S Arrasatea, H González-Díaz MDPI, 2021 | | 2021 |