Grants per year
Personal profile
Education/Academic qualification
Computer Science, PhD, Lanzhou University
… → 2016
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Grants
- 1 Active
-
Building Informatics Tools for the Identification of Chronic Spontaneous Urticaria using Electronic Health Records
Bilaver, L. A. (PD/PI), Luo, Y. (Co-Investigator) & Mao, C. (Co-Investigator)
8/19/24 → 8/30/25
Project: Research project
-
Northwestern University resource and education development initiatives to advance collaborative artificial intelligence across the learning health system
Luo, Y., Mao, C., Sanchez-Pinto, L. N., Ahmad, F. S., Naidech, A., Rasmussen, L., Pacheco, J. A., Schneider, D., Mithal, L. B., Dresden, S., Holmes, K., Carson, M., Shah, S. J., Khan, S., Clare, S., Wunderink, R. G., Liu, H., Walunas, T., Cooper, L. & Yue, F. & 14 others, , Jul 2024, In: Learning Health Systems. 8, 3, e10417.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
A comprehensive SARS-CoV-2–human protein–protein interactome reveals COVID-19 pathobiology and potential host therapeutic targets
Zhou, Y., Liu, Y., Gupta, S., Paramo, M. I., Hou, Y., Mao, C., Luo, Y., Judd, J., Wierbowski, S., Bertolotti, M., Nerkar, M., Jehi, L., Drayman, N., Nicolaescu, V., Gula, H., Tay, S., Randall, G., Wang, P., Lis, J. T. & Feschotte, C. & 3 others, , Jan 2023, In: Nature biotechnology. 41, 1, p. 128-139 12 p.Research output: Contribution to journal › Article › peer-review
Open Access87 Scopus citations -
Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium
The Consortium For Clinical Characterization Of COVID-19 By EHR (4CE), Jan 2023, In: PloS one. 18, 1 January, e0266985.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease
Mao, C., Xu, J., Rasmussen, L., Li, Y., Adekkanattu, P., Pacheco, J., Bonakdarpour, B., Vassar, R., Shen, L., Jiang, G., Wang, F., Pathak, J. & Luo, Y., Aug 2023, In: Journal of Biomedical Informatics. 144, 104442.Research output: Contribution to journal › Article › peer-review
Open Access16 Scopus citations -
Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study
The Consortium For Clinical Characterization Of COVID-19 By EHR (4CE), Oct 2023, In: EClinicalMedicine. 64, 102210.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations
Datasets
-
Additional file 5 of Deep learning for cancer type classification and driver gene identification
Zeng, Z. (Creator), Mao, C. (Creator), Vo, A. (Creator), Li, X. (Creator), Nugent, J. O. (Creator), Khan, S. A. (Creator), Clare, S. E. (Creator) & Luo, Y. (Creator), figshare, 2021
DOI: 10.6084/m9.figshare.16864960, https://springernature.figshare.com/articles/dataset/Additional_file_5_of_Deep_learning_for_cancer_type_classification_and_driver_gene_identification/16864960
Dataset
-
Additional file 2 of Deep learning for cancer type classification and driver gene identification
Zeng, Z. (Creator), Mao, C. (Creator), Vo, A. (Creator), Li, X. (Creator), Nugent, J. O. (Creator), Khan, S. A. (Creator), Clare, S. E. (Creator) & Luo, Y. (Creator), figshare, 2021
DOI: 10.6084/m9.figshare.16864951, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Deep_learning_for_cancer_type_classification_and_driver_gene_identification/16864951
Dataset
-
Additional file 1 of Deep learning for cancer type classification and driver gene identification
Zeng, Z. (Creator), Mao, C. (Creator), Vo, A. (Creator), Li, X. (Creator), Nugent, J. O. (Creator), Khan, S. A. (Creator), Clare, S. E. (Creator) & Luo, Y. (Creator), figshare, 2021
DOI: 10.6084/m9.figshare.16864948, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Deep_learning_for_cancer_type_classification_and_driver_gene_identification/16864948
Dataset
-
Sepsis subphenotyping based on organ dysfunction trajectory
Xu, Z. (Creator), Mao, C. (Creator), Su, C. (Creator), Zhang, H. (Creator), Siempos, I. (Creator), Torres, L. K. (Creator), Pan, D. (Creator), Luo, Y. (Creator), Schenck, E. J. (Creator) & Wang, F. (Creator), figshare, 2022
DOI: 10.6084/m9.figshare.c.6077785, https://springernature.figshare.com/collections/Sepsis_subphenotyping_based_on_organ_dysfunction_trajectory/6077785
Dataset
-
Additional file 4 of Deep learning for cancer type classification and driver gene identification
Zeng, Z. (Creator), Mao, C. (Creator), Vo, A. (Creator), Li, X. (Creator), Nugent, J. O. (Creator), Khan, S. A. (Creator), Clare, S. E. (Creator) & Luo, Y. (Creator), figshare, 2021
DOI: 10.6084/m9.figshare.16864957, https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Deep_learning_for_cancer_type_classification_and_driver_gene_identification/16864957
Dataset