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Yuan Luo

  • 901 Citations
20062020

Research output per year

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Personal profile

Research Interests

His research interests include machine learning, natural language processing, time series analysis, integrative genomic analysis and big data analytics, with a focus on medical and clinical applications. He is the Chief AI Scientist at Northwestern University Clinical and Translational Sciences Institute (NUCATS).

Education/Academic qualification

PhD, Massachusetts Institute of Technology

… → 2015

Research interests

  • Autism Spectrum Disorders
  • Bioinformatics
  • Biomedical Ontologies
  • Blood Cancer (leukemia and lymphomas)
  • Computational Biology
  • Critical Care
  • Genomics
  • Medical Informatics

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Grants

Northwestern Genomic Risk Assessment and Management Program

Aufox, S. A., Chisholm, R. L., Hoell, C., Kho, A. N., Luo, Y., McNally, E. M., Perera, M., Rasmussen-Torvik, L. J., Roy-Puckelwartz, M. J., Scherr, C. E. L., Scholtens, D. M., Smith, M. E., Starren, J. B., Walunas, T. L., Wehbe, F. & Gordon, A. S.

National Human Genome Research Institute

7/1/20 → 4/30/25

Project: Research project

Modeling the Incompleteness and Biases of Health Data

Lloyd-Jones, D. M., Luo, Y. & Wunderink, R. G.

National Library of Medicine

6/1/20 → 3/31/24

Project: Research project

    • An In Silico, Medical Record-based Model for Understanding the INitiation of Autoimmune Events (IMMUNE)

    Furmanchuk, A., Kho, A. N., Luo, Y., Sosman, J. A. & Walunas, T. L.

    National Institute of Arthritis and Musculoskeletal and Skin Diseases

    9/17/19 → 8/31/20

    Project: Research project

    • Intervention to Reduce Early Peanut Allergy in Children (iREACH)

    Bilaver, L. A., Luo, Y. & Van Horn, L.

    Ann & Robert H. Lurie Children's Hospital of Chicago, National Institute of Allergy and Infectious Diseases

    7/24/19 → 6/30/24

    Project: Research project

    • Northwestern University Clinical and Translational Science Institute

    D'Aquila, R. T., Holmes, K., Lloyd-Jones, D. M., Starren, J. B., Brown, C. H., Butt, Z., Cameron, K. A., Carnethon, M. R., Ciolino, J. D., D'Aquila, R. T., Fleming, M. F., Gutzman, K. E., Hockberger, P. E., Huang, W., Kalhan, R., Kandula, N. R., Luo, Y., Opal, P., Pfammatter, A. F., Pope, R. M., Ramsey-Goldman, R., Rasmussen-Torvik, L. J., Rosenberg, S. R., Sharma, L., Siddique, J., Smith, J. D., Soulakis, N. D., Spring, B., Tandon, D., Thaxton, C. S., Wehbe, F. & Welty, L. J.

    National Center for Advancing Translational Sciences

    7/15/19 → 6/30/24

    Project: Research project

    Research Output

    Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks

    Xu, Z., Chou, J., Zhang, X. S., Luo, Y., Isakova, T., Adekkanattu, P., Ancker, J. S., Jiang, G., Kiefer, R. C., Pacheco, J. A., Rasmussen, L. V., Pathak, J. & Wang, F., Feb 2020, In : Journal of Biomedical Informatics. 102, 103361.

    Research output: Contribution to journal › Article

    • 1 Scopus citations

    Med2Meta: Learning representations of medical concepts with meta-embeddings

    Chowdhury, S., Zhang, C., Yu, P. S. & Luo, Y., 2020, HEALTHINF 2020 - 13th International Conference on Health Informatics, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020. Cabitza, F., Fred, A. & Gamboa, H. (eds.). SciTePress, p. 369-376 8 p. (HEALTHINF 2020 - 13th International Conference on Health Informatics, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • Somatic genetic aberrations in benign breast disease and the risk of subsequent breast cancer

    Zeng, Z., Vo, A., Li, X., Shidfar, A., Saldana, P., Blanco, L., Xuei, X., Luo, Y., Khan, S. A. & Clare, S. E., Dec 1 2020, In : npj Breast Cancer. 6, 1, 24.

    Research output: Contribution to journal › Article

    Open Access

    • Supervised subgraph augmented non-negative matrix factorization for interpretable manufacturing time series data analytics

    Sun, H., Jin, R. & Luo, Y., Jan 2 2020, In : IISE Transactions. 52, 1, p. 120-131 12 p.

    Research output: Contribution to journal › Article

    • 1 Scopus citations

    Toward cross-platform electronic health record-driven phenotyping using Clinical Quality Language

    Brandt, P. S., Kiefer, R. C., Pacheco, J. A., Adekkanattu, P., Sholle, E. T., Ahmad, F. S., Xu, J., Xu, Z., Ancker, J. S., Wang, F., Luo, Y., Jiang, G., Pathak, J. & Rasmussen, L. V., 2020, (Accepted/In press) In : Learning Health Systems.

    Research output: Contribution to journal › Article

    Open Access