@article{Khaledi_2020,
  added-at = {2020-02-18T15:13:46.000+0100},
  author = {Khaledi, A and Weimann, A and Schniederjans, M and Asgari, E and Kuo, T H and Oliver, A and Cabot, G and Kola, A and Gastmeier, P and Hogardt, M and Jonas, D and Mofrad, M R K and Bremges, A and McHardy, A C and Häussler, S},
  biburl = {https://www.bibsonomy.org/bibtex/2676c14b5cba438013aecc7f954dcb5d0/haeussler},
  editor = {Med, EMBO Mol},
  interhash = {ac9fee1eda7352524ac6ef46c7d5d23b},
  intrahash = {676c14b5cba438013aecc7f954dcb5d0},
  journal = {EMBO Mol Med},
  keywords = {haeussler},
  month = feb,
  number = 3,
  pages = {e10264},
  publisher = {{EMBO}},
  pubmedurl = {https://pubmed.ncbi.nlm.nih.gov/32048461/},
  timestamp = {2020-05-05T11:09:56.000+0200},
  title = {Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics},
  url = {https://doi.org/10.15252%2Femmm.201910264},
  volume = 12,
  year = 2020
}