Publikationen, an denen er mitarbeitet Harbil Bediaga Bañeres (8)

2024

  1. Machine learning guided prediction of warfarin blood levels for personalized medicine based on clinical longitudinal data from cardiac surgery patients: a prospective observational study

    International Journal of Surgery

  2. NANO.PTML model for read-across prediction of nanosystems in neurosciences. computational model and experimental case of study

    Journal of Nanobiotechnology, Vol. 22, Núm. 1

  3. On the additive artificial intelligence-based discovery of nanoparticle neurodegenerative disease drug delivery systems

    Beilstein Journal of Nanotechnology, Vol. 15, pp. 535-555

  4. OptiMo-LDLr: An Integrated In Silico Model with Enhanced Predictive Power for LDL Receptor Variants, Unraveling Hot Spot Pathogenic Residues

    Advanced Science, Vol. 11, Núm. 13

2022

  1. Multi-output chemometrics model for gasoline compounding

    Fuel, Vol. 310

2021

  1. Synthesis, Pharmacological, and Biological Evaluation of 2-Furoyl-Based MIF-1 Peptidomimetics and the Development of a General-Purpose Model for Allosteric Modulators (ALLOPTML)

    ACS Chemical Neuroscience, Vol. 12, Núm. 1, pp. 203-215

2020

  1. Ptml multi-label algorithms: Models, software, and applications

    Current Topics in Medicinal Chemistry, Vol. 20, Núm. 25, pp. 2326-2337

2018

  1. PTML Combinatorial Model of ChEMBL Compounds Assays for Multiple Types of Cancer

    ACS Combinatorial Science, Vol. 20, Núm. 11, pp. 621-632