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      Patient privacy in AI-driven omics methods.

      Author(s): 1 , 2 , 3
      Publication date (Electronic):
      Journal: Trends in genetics : TIG
      Publisher: Elsevier BV
      Keywords: artificial intelligence, omics, privacy

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          Abstract

          Artificial intelligence (AI) in omics analysis raises privacy threats to patients. Here, we briefly discuss risk factors to patient privacy in data sharing, model training, and release, as well as methods to safeguard and evaluate patient privacy in AI-driven omics methods.

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          Author and article information

          Journal
          Journal ID (iso-abbrev): Trends Genet
          Title: Trends in genetics : TIG
          Publisher: Elsevier BV
          ISSN: 0168-9525
          ISSN (Print): 0168-9525
          Publication date (Electronic): May 2024
          Volume: 40
          Issue: 5
          Affiliations
          [1 ] Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia; Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia.
          [2 ] Ningbo Institute of Information Technology Application, Chinese Academy of Sciences (CAS), Ningbo, China.
          [3 ] Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia; Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia. Electronic address: xin.gao@kaust.edu.sa.
          Article
          Publisher Item ID: S0168-9525(24)00066-0
          DOI: 10.1016/j.tig.2024.03.004
          PubMed ID: 38637270
          SO-VID: 395e98b2-e2f5-446d-bc44-ea3bdb69fe59
          History

          Keywords: artificial intelligence,omics,privacy
          Data availability:
          Keywords: artificial intelligence, omics, privacy

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