Proof-of-concept study: Homomorphically encrypted data can support real-time learning in personalized cancer medicine

Silvia Paddock, Hamed Abedtash, Jacqueline Zummo, Samuel Thomas. Proof-of-concept study: Homomorphically encrypted data can support real-time learning in personalized cancer medicine. BMC Med. Inf. & Decision Making, 19(1):255, 2019. [doi]

@article{PaddockAZT19,
  title = {Proof-of-concept study: Homomorphically encrypted data can support real-time learning in personalized cancer medicine},
  author = {Silvia Paddock and Hamed Abedtash and Jacqueline Zummo and Samuel Thomas},
  year = {2019},
  doi = {10.1186/s12911-019-0983-9},
  url = {https://doi.org/10.1186/s12911-019-0983-9},
  researchr = {https://researchr.org/publication/PaddockAZT19},
  cites = {0},
  citedby = {0},
  journal = {BMC Med. Inf. & Decision Making},
  volume = {19},
  number = {1},
  pages = {255},
}