@article{SagymbayGENZhetal.2019,
  author    = {Sagymbay, Altynay and G.E., Nusupbaeva and N.Zh, Tleumbetova and A.S., Mutalieva and Nurpeisova, Ainur and D.B., Jussupova and Digel, Ilya},
  title     = {Molecular genetics features of the epidemic season 2017-2018 on the influenza in Kazakhstan},
  series = {Eurasian Journal of Ecology},
  volume    = {58},
  journal   = {Eurasian Journal of Ecology},
  number    = {1},
  isbn      = {2617-7358},
  pages     = {50 -- 60},
  year      = {2019},
  language  = {ru}
}
@article{SavitskayaKistaubayevaIgnatovaetal.2019,
  author    = {Savitskaya, I.S. and Kistaubayeva, A.S. and Ignatova, L.V. and Digel, Ilya},
  title     = {Antimicrobial and wound healing properties of a bacterial cellulose based material containing B. subtilis cells},
  series = {Heliyon},
  volume    = {5},
  journal   = {Heliyon},
  number    = {10},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2405-8440},
  doi       = {10.1016/j.heliyon.2019.e02592},
  pages     = {Artikelnummer e02592},
  year      = {2019},
  language  = {en}
}
@article{TurlybekulyPogrebnjakSukhodubetal.2019,
  author    = {Turlybekuly, Amanzhol and Pogrebnjak, Alexander and Sukhodub, L. F. and Sukhodub, Liudmyla B. and Kistaubayeva, A. S. and Savitskaya, Irina and Shokatayeva, D. H. and Bondar, Oleksandr V. and Shaimardanov, Z. K. and Plotnikov, Sergey V. and Shaimardanova, B. H. and Digel, Ilya},
  title     = {Synthesis, characterization, in vitro biocompatibility and antibacterial properties study of nanocomposite materials based on hydroxyapatite-biphasic ZnO micro- and nanoparticles embedded in Alginate matrix},
  series = {Materials Science and Engineering C},
  volume    = {104},
  journal   = {Materials Science and Engineering C},
  number    = {Article number 109965},
  publisher = {Elsevier},
  address   = {Amsterdam},
  doi       = {10.1016/j.msec.2019.109965},
  year      = {2019},
  language  = {en}
}
@inproceedings{AzarDigel2019,
  author    = {Azar, Fouad and Digel, Ilya},
  title     = {Utilization of fluorescence spectroscopy and neural networks in clinical analysis},
  series = {3rd YRA MedTech Symposium 2019 : May 24 / 2019 / FH Aachen},
  booktitle = {3rd YRA MedTech Symposium 2019 : May 24 / 2019 / FH Aachen},
  editor    = {Staat, Manfred and Erni, Daniel},
  publisher = {Universit{\"a}t Duisburg-Essen},
  address   = {Duisburg},
  organization    = {MedTech Symposium},
  isbn      = {978-3-940402-22-6},
  doi       = {10.17185/duepublico/48750},
  pages     = {40 -- 41},
  year      = {2019},
  abstract  = {Fluorescence topography of human urine in combination with learning algorithms can provide a variant pattern recognition method in analytical clinical chemistry and, eventually, diagnosis.},
  language  = {en}
}