EVA LOZANO MILO-rekin lankidetzan egindako argitalpenak (8)

2022

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

    Horticulturae, Vol. 8, Núm. 11

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

    Frontiers in Plant Science, Vol. 13

2021

  1. Phenolic profiling and in vitro bioactivities of three medicinal Bryophyllum plants

    Industrial Crops and Products, Vol. 162

  2. 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