Zhang, Kang
Macau University of Science and Technology · Wenzhou Medical University · Guangzhou Laboratory
33 papers on CoChatORCID 0000-0002-4549-1697
Most cited papers
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Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Kermany, D. S., Goldbaum, M., Cai, W., Valentim, C. C. S., Liang, H., Baxter, S. L., McKeown, A., Yang, G., Wu, X., Yan, F., et al. (2018) · Cell
Retinal Imaging and AnalysisArtificial Intelligence in Healthcare and Education
Cited by 4,842
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Genome-wide methylation profiles reveal quantitative views of human aging rates
Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., Klotzle, B., Bibikova, M., Fan, J.-B., Gao, Y., et al. (2013) · Molecular Cell
Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms
Cited by 4,270
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The practical implementation of artificial intelligence technologies in medicine
He, J., Baxter, S. L., Xu, J., Xu, J., Zhou, X., & Zhang, K. (2019) · Nature Medicine
Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems
Cited by 2,246
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A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants
Fritsche, L. G., Igl, W., Bailey, J. N. C., Grassmann, F., Sengupta, S., Bragg-Gresham, J. L., Burdon, K. P., Hebbring, S. J., Wen, C., Gorski, M., et al. (2016) · Nature Genetics
Retinal Diseases and TreatmentsGenetic Associations and Epidemiology
Cited by 1,544
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Characteristics of pediatric SARS-CoV-2 infection and potential evidence for persistent fecal viral shedding
Xu, Y., Li, X., Zhu, B., Liang, H., Fang, C., Gong, Y., Guo, Q., Sun, X., Zhao, D., Shen, J., et al. (2020) · Nature Medicine
COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research
Cited by 1,415
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In vivo genome editing via CRISPR/Cas9 mediated homology-independent targeted integration
Suzuki, K., Tsunekawa, Y., Hernandez-Benitez, R., Wu, J., Zhu, J., Kim, E. J., Hatanaka, F., Yamamoto, M., Araoka, T., Li, Z., et al. (2016) · Nature
CRISPR and Genetic EngineeringRNA regulation and disease
Cited by 1,150
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DNA methylation aging clocks: challenges and recommendations
Bell, C. G., Lowe, R., Adams, P. D., Baccarelli, A. A., Beck, S., Bell, J. T., Christensen, B. C., Gladyshev, V. N., Heijmans, B. T., Horvath, S., et al. (2019) · Genome Biology
Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms
Cited by 1,025
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Seven-Year Outcomes in Ranibizumab-Treated Patients in ANCHOR, MARINA, and HORIZON
Rofagha, S., Bhisitkul, R. B., Boyer, D. S., Sadda, S. R., & Zhang, K. (2013) · Ophthalmology
Retinal Diseases and TreatmentsOcular Diseases and Behçet’s Syndrome
Cited by 1,023
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Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography
Zhang, K., Liu, X., Shen, J., Li, Z., Sang, Y., Wu, X., Zha, Y., Liang, W., Wang, C., Wang, K., et al. (2020) · Cell
COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education
Cited by 917
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A Variant of the HTRA1 Gene Increases Susceptibility to Age-Related Macular Degeneration
Yang, Z., Camp, N. J., Sun, H., Tong, Z., Gibbs, D., Cameron, D. J., Chen, H., Zhao, Y., Pearson, E., Li, X., et al. (2006) · Science
Retinal Diseases and TreatmentsRetinal Development and Disorders
Cited by 796
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Sustained axon regeneration induced by co-deletion of PTEN and SOCS3
Sun, F., Park, K. K., Belin, S., Wang, D., Lu, T., Chen, G., Zhang, K., Yeung, C., Feng, G., Yankner, B. A., et al. (2011) · Nature
Nerve injury and regenerationNeurogenesis and neuroplasticity mechanisms
Cited by 754
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Drusen complement components C3a and C5a promote choroidal neovascularization
Nozaki, M., Raisler, B. J., Sakurai, E., Sarma, J. V., Barnum, S. R., Lambris, J. D., Chen, Y., Zhang, K., Ambati, B. K., Baffi, J. Z., et al. (2006) · Proceedings of the National Academy of Sciences
Retinal Diseases and TreatmentsComplement system in diseases
Cited by 650
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Direct Conversion of Fibroblasts to Neurons by Reprogramming PTB-Regulated MicroRNA Circuits
Xue, Y., Ouyang, K., Huang, J., Zhou, Y., Ouyang, H., Li, H., Wang, G., Wu, Q., Wei, C., Bi, Y., et al. (2013) · Cell
Pluripotent Stem Cells ResearchNeurogenesis and neuroplasticity mechanisms
Cited by 562
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Genome-wide association study of advanced age-related macular degeneration identifies a role of the hepatic lipase gene ( LIPC )
Neale, B. M., Fagerness, J., Reynolds, R., Sobrin, L., Parker, M., Raychaudhuri, S., Tan, P. L., Oh, E. C., Merriam, J. E., Souied, E., et al. (2010) · Proceedings of the National Academy of Sciences
Retinal Diseases and TreatmentsGenetic Associations and Epidemiology
Cited by 442
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Seroprevalence of immunoglobulin M and G antibodies against SARS-CoV-2 in China
Xu, X., Sun, J., Nie, S., Li, H., Kong, Y., Liang, M., Hou, J., Huang, X., Li, D., Ma, T., et al. (2020) · Nature Medicine
SARS-CoV-2 and COVID-19 ResearchSARS-CoV-2 detection and testing
Cited by 405
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Robo4 stabilizes the vascular network by inhibiting pathologic angiogenesis and endothelial hyperpermeability
Jones, C. A., London, N. R., Chen, H., Park, K. W., Sauvaget, D., Stockton, R. A., Wythe, J. D., Suh, W., Larrieu-Lahargue, F., Mukouyama, Y.-S., et al. (2008) · Nature Medicine
Angiogenesis and VEGF in CancerAxon Guidance and Neuronal Signaling
Cited by 392
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A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Zhou, H.-Y., Yu, Y., Wang, C., Zhang, S., Gao, Y., Pan, J., Shao, J., Lu, G., Zhang, K., & Li, W. (2023) · Nature Biomedical Engineering
Machine Learning in HealthcareMultimodal Machine Learning Applications
Cited by 343
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Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images
Zhang, K., Liu, X., Xu, J., Yuan, J., Cai, W., Chen, T., Wang, K., Gao, Y., Nie, S., Xu, X., et al. (2021) · Nature Biomedical Engineering
Retinal Imaging and AnalysisArtificial Intelligence in Healthcare
Cited by 324
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Treatment of retinitis pigmentosa due to MERTK mutations by ocular subretinal injection of adeno-associated virus gene vector: results of a phase I trial
Ghazi, N. G., Abboud, E. B., Nowilaty, S. R., Alkuraya, H., Alhommadi, A., Cai, H., Hou, R., Deng, W.-T., Boye, S. L., Almaghamsi, A., et al. (2016) · Human Genetics
Retinal Development and DisordersVirus-based gene therapy research
Cited by 243
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CFH Y402H confers similar risk of soft drusen and both forms of advanced AMD
Magnusson, K. P., Duan, S., Sigurdsson, H., Petursson, H., Yang, Z., Zhao, Y., Bernstein, P. S., Ge, J., Jonasson, F., Stefansson, E., et al. (2005) · PLoS Medicine
Retinal Diseases and TreatmentsComplement system in diseases
Cited by 226
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Toll-like Receptor 3 and Geographic Atrophy in Age-Related Macular Degeneration
Yang, Z., Stratton, C., Francis, P. J., Kleinman, M. E., Tan, P. L., Gibbs, D., Tong, Z., Chen, H., Constantine, R., Yang, X., et al. (2008) · New England Journal of Medicine
Retinal Diseases and TreatmentsRetinal Development and Disorders
Cited by 222
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Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography
Zhang, K., Liu, X., Shen, J., Li, Z., Sang, Y., Wu, X., Zha, Y., Liang, W., Wang, C., Wang, K., et al. (2020) · Cell
COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education
Cited by 218
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Murine Ccl2/Cx3cr1 Deficiency Results in Retinal Lesions Mimicking Human Age-Related Macular Degeneration
Tuo, J., Bojanowski, C. M., Zhou, M., Shen, D., Ross, R. J., Rosenberg, K. I., Cameron, D. J., Yin, C., Kowalak, J. A., Zhuang, Z., et al. (2007) · Investigative Opthalmology & Visual Science
Retinal Diseases and TreatmentsRetinal Development and Disorders
Cited by 205
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In Situ Gene Therapy via AAV-CRISPR-Cas9-Mediated Targeted Gene Regulation
Moreno, A. M., Fu, X., Zhu, J., Katrekar, D., Shih, Y.-R. V., Marlett, J., Cabotaje, J., Tat, J., Naughton, J., Lisowski, L., et al. (2018) · Molecular Therapy
CRISPR and Genetic EngineeringVirus-based gene therapy research
Cited by 159
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