Zhiyong Lu

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Senior Investigator, Biomedical Text Mining Group, National Library of Medicine (NLM)

Research Topics

Dr. Lu's research group is developing computational methods and software tools for text mining research (analyzing and making sense of natural language data in biomedical literature and clinical text). Some of his recent research has been successfully integrated into and widely used in PubMed and other NCBI databases.

His current focus areas include:

  • Biomedical literature analysis and retrieval (BioNLP)
  • Computer-assisted biomedical data curation (Biocuration)
  • Web access to comsumer health information (Health Informatics)
  • Computational drug repositioning (Translational Bioinformatics)

Biography

Dr. Lu is a Senior investigator at the National Center for Biotechnology Information (NCBI), where he joined after earning a Ph.D. in Bioinformatics at the University of Colorado School of Medicine.

Selected Publications

  1. Fiorini N, Leaman R, Lipman DJ, Lu Z. How user intelligence is improving PubMed. Nat Biotechnol. 2018.

  2. Chen Q, Allot A, Lu Z. Keep up with the latest coronavirus research. Nature. 2020;579(7798):193.

  3. Allot A, Wei CH, Phan L, Hefferon T, Landrum M, Rehm HL, Lu Z. Tracking genetic variants in the biomedical literature using LitVar 2.0. Nat Genet. 2023;55(6):901-903.

  4. Jin Q, Wang Z, Floudas CS, Chen F, Gong C, Bracken-Clarke D, Xue E, Yang Y, Sun J, Lu Z. Matching patients to clinical trials with large language models. Nat Commun. 2024;15(1):9074.

  5. Wang Z, Jin Q, Wei CH, Tian S, Lai PT, Zhu Q, Day CP, Ross C, Leaman R, Lu Z. GeneAgent: self-verification language agent for gene-set analysis using domain databases. Nat Methods. 2025;22(8):1677-1685.