Skip to content
tyuya

tyuya

Posted on December 6, 2019 by Joerg Blumtritt

Homomorphically encrypted data supports real-time learning in personalized cancer medicine

Paddock, S., Abedtash, H., Zummo, J. et al. Proof-of-concept study: Homomorphically encrypted data can support real-time learning in personalized cancer medicine. BMC Med Inform Decis Mak19, 255 (2019) doi:10.1186/s12911-019-0983-9

CategoriesUncategorized

Post navigation

Previous PostPrevious The changing paradigm of Big Data

Recent Posts

  • Homomorphically encrypted data supports real-time learning in personalized cancer medicine
  • The changing paradigm of Big Data
  • Consumer DNA data and privacy: The case for homomophic encryption
  • Privacy-preserving deep learning
  • Secure multi party computation library for deep learning
  • Training data for natural language processing
  • Removing information is information, too.
  • Contact and Information
Proudly powered by WordPress