Wang, Kai

The Human Phenotype Ontology in 2024: phenotypes around the world

Gargano, M. A., Matentzoglu, N., Coleman, B., Addo-Lartey, E. B., Anagnostopoulos, A. V., Anderton, J., Avillach, P., Bagley, A. M., Bakštein, E., Balhoff, J. P., et al. (2024) · Nucleic Acids Research

Biomedical Text Mining and OntologiesGenomics and Rare Diseases

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PrecisionFDA Truth Challenge V2: Calling variants from short and long reads in difficult-to-map regions

Olson, N. D., Wagner, J., McDaniel, J., Stephens, S. H., Westreich, S. T., Prasanna, A. G., Johanson, E., Boja, E., Maier, E. J., Serang, O., et al. (2022) · Cell Genomics

Genomics and Phylogenetic StudiesGenomics and Rare Diseases

Cited by 202

Group lasso regularized deep learning for cancer prognosis from multi-omics and clinical features

Xie, G., Dong, C., Kong, Y., Zhong, J. F., Li, M., & Wang, K. (2019) · Genes

Gene expression and cancer classificationBreast Cancer Treatment Studies

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CancerVar: an artificial intelligence-empowered platform for clinical interpretation of somatic mutations in cancer

Li, Q., Ren, Z., Cao, K., Li, M. M., Wang, K., & Zhou, Y. (2022) · Science Advances

Genomics and Rare DiseasesCancer Genomics and Diagnostics

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Assessing the utility of large language models for phenotype-driven gene prioritization in the diagnosis of rare genetic disease

Kim, J., Wang, K., Weng, C., & Liu, C. (2024) · The American Journal of Human Genetics

Genomics and Rare DiseasesBiomedical Text Mining and Ontologies

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Integrating Chain‐of‐Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis From Clinical Notes

Wang, Z., Wu, D., Nguyen, Q., & Wang, K. (2026) · Medicine Bulletin

Biomedical Text Mining and OntologiesArtificial Intelligence in Healthcare and Education

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TimeX: Phenotype Onset Extraction from Clinical Narratives

Chen, F., Jiang, S., Nguyen, Q. M., Ta, C. N., Wang, K., Chung, W. K., & Weng, C. (2026) · npj Health Systems

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

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