Publications in collaboration with researchers from Universidade de Vigo (40)

2023

  1. Artificial intelligence unveils key interactions between soil properties and climate factors on Boletus edulis and B. reticulatus mycelium in chestnut orchards of different ages

    Frontiers in Soil Science, Vol. 3

  2. Cost Analysis of Magnetic Resonance Imaging and Computed Tomography in Cardiology: A Case Study of a University Hospital Complex in the Euro Region

    Healthcare (Switzerland), Vol. 11, Núm. 14

  3. Updated Aspects of Safety Regulations for Biomedical Applications of Aerogel Compounds—Compendia-Like Evaluation

    Safety, Vol. 9, Núm. 4

  4. Vancomycin-Loaded 3D-Printed Polylactic Acid–Hydroxyapatite Scaffolds for Bone Tissue Engineering

    Polymers, Vol. 15, Núm. 21

2022

  1. Artificial Neural Networks Elucidated the Essential Role of Mineral Nutrients versus Vitamins and Plant Growth Regulators in Achieving Healthy Micropropagated Plants

    Plants, Vol. 11, Núm. 10

  2. Deciphering the effect of vitamins and mineral nutrients on kiwiberry micropropagation using computer-based tools

    Acta Horticulturae

  3. Machine Learning Deciphers Genotype and Ammonium as Key Factors for the Micropropagation of Bryophyllum sp. Medicinal Plants

    Horticulturae, Vol. 8, Núm. 11

  4. Machine learning tools to identify key minerals of Hoagland solution for healthy kiwiberry micropropagated plant hardening

    Acta Horticulturae

  5. Neurofuzzy logic predicts a fine-tuning metabolic reprogramming on elicited Bryophyllum PCSCs guided by salicylic acid

    Frontiers in Plant Science, Vol. 13

  6. Using machine learning to link the influence of transferred Agrobacterium rhizogenes genes to the hormone profile and morphological traits in Centella asiatica hairy roots

    Frontiers in Plant Science, Vol. 13

2021

  1. Computer-Based Tools Unmask Critical Mineral Nutrient Interactions in Hoagland Solution for Healthy Kiwiberry Plant Acclimatization

    Frontiers in Plant Science, Vol. 12

  2. Insights on toxicity, safe handling and disposal of silica aerogels and amorphous nanoparticles

    Environmental Science: Nano, Vol. 8, Núm. 5, pp. 1177-1195

  3. The combination of untargeted metabolomics and machine learning predicts the biosynthesis of phenolic compounds in bryophyllum medicinal plants (Genus kalanchoe)

    Plants, Vol. 10, Núm. 11

2020

  1. Combining medicinal plant in vitro culture with machine learning technologies for maximizing the production of phenolic compounds

    Antioxidants, Vol. 9, Núm. 3

  2. From ethnomedicine to plant biotechnology and machine learning: The valorization of the medicinal plant bryophyllum sp.

    Pharmaceuticals, Vol. 13, Núm. 12, pp. 1-23

  3. Machine Learning Unmasked Nutritional Imbalances on the Medicinal Plant Bryophyllum sp. Cultured in vitro

    Frontiers in Plant Science, Vol. 11

  4. Machine learning technology reveals the concealed interactions of phytohormones on medicinal plant in vitro organogenesis

    Biomolecules, Vol. 10, Núm. 5

  5. Modeling and Optimizing Culture Medium Mineral Composition for in vitro Propagation of Actinidia arguta

    Frontiers in Plant Science, Vol. 11

  6. Shoot tip necrosis of in vitro plant cultures: a reappraisal of possible causes and solutions

    Planta, Vol. 252, Núm. 3

2019

  1. Computer-based tools provide new insight into the key factors that cause physiological disorders of pistachio rootstocks cultured in vitro

    Scientific Reports, Vol. 9, Núm. 1