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Chengxi Zang

Showing results (11-20 of 33) with videos related to

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Nature Communications|May 13, 2025
Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectorySuraj Rajendran, Zhenxing Xu, Weishen Pan, et al.
Journal of General Internal Medicine|February 16, 2023
Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER ProgramDhruv Khullar, Yongkang Zhang, Chengxi Zang, et al.
NPJ Parkinson'S Disease|January 21, 2025
A network-based systems genetics framework identifies pathobiology and drug repurposing in Parkinson's diseaseLijun Dou, Zhenxing Xu, Jielin Xu, et al.
Eclinicalmedicine|June 3, 2024
Association between acquiring SARS-CoV-2 during pregnancy and post-acute sequelae of SARS-CoV-2 infection: RECOVER electronic health record cohort analysisAnn M Bruno, Chengxi Zang, Zhengxing Xu, et al.
Nature Communications|December 11, 2023
High-throughput target trial emulation for Alzheimer's disease drug repurposing with real-world dataChengxi Zang, Hao Zhang, Jie Xu, et al.
Research Square|July 1, 2024
Real-World Effectiveness of Nirmatrelvir in Protecting Long COVID for Outpatient Adult Patients - A Large-Scale Observational Cohort Study from the RECOVER InitiativeFei Wang, Chengxi Zang, Haoyang Li, et al.
Arxiv|January 14, 2021
Contrastive Learning Improves Critical Event Prediction in COVID-19 PatientsTingyi Wanyan, Hossein Honarvar, Suraj K Jaladanki, et al.
Npj Health Systems|September 17, 2025
Extracting post-acute sequelae of SARS-CoV-2 infection symptoms from clinical notes via hybrid natural language processingZilong Bai, Zihan Xu, Cong Sun, et al.
Medrxiv : the Preprint Server for Health Sciences|October 20, 2022
Identifying Contextual and Spatial Risk Factors for Post-Acute Sequelae of SARS-CoV-2 Infection: An EHR-based Cohort Study from the RECOVER ProgramYongkang Zhang, Hui Hu, Vasilios Fokaidis, et al.
Nature Communications|April 7, 2023
Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiativeChengxi Zang, Yongkang Zhang, Jie Xu, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
Nature Communications|May 13, 2025
Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectorySuraj Rajendran, Zhenxing Xu, Weishen Pan, et al.
Journal of General Internal Medicine|February 16, 2023
Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER ProgramDhruv Khullar, Yongkang Zhang, Chengxi Zang, et al.
NPJ Parkinson'S Disease|January 21, 2025
A network-based systems genetics framework identifies pathobiology and drug repurposing in Parkinson's diseaseLijun Dou, Zhenxing Xu, Jielin Xu, et al.
Eclinicalmedicine|June 3, 2024
Association between acquiring SARS-CoV-2 during pregnancy and post-acute sequelae of SARS-CoV-2 infection: RECOVER electronic health record cohort analysisAnn M Bruno, Chengxi Zang, Zhengxing Xu, et al.
Nature Communications|December 11, 2023
High-throughput target trial emulation for Alzheimer's disease drug repurposing with real-world dataChengxi Zang, Hao Zhang, Jie Xu, et al.
Research Square|July 1, 2024
Real-World Effectiveness of Nirmatrelvir in Protecting Long COVID for Outpatient Adult Patients - A Large-Scale Observational Cohort Study from the RECOVER InitiativeFei Wang, Chengxi Zang, Haoyang Li, et al.
Arxiv|January 14, 2021
Contrastive Learning Improves Critical Event Prediction in COVID-19 PatientsTingyi Wanyan, Hossein Honarvar, Suraj K Jaladanki, et al.
Npj Health Systems|September 17, 2025
Extracting post-acute sequelae of SARS-CoV-2 infection symptoms from clinical notes via hybrid natural language processingZilong Bai, Zihan Xu, Cong Sun, et al.
Medrxiv : the Preprint Server for Health Sciences|October 20, 2022
Identifying Contextual and Spatial Risk Factors for Post-Acute Sequelae of SARS-CoV-2 Infection: An EHR-based Cohort Study from the RECOVER ProgramYongkang Zhang, Hui Hu, Vasilios Fokaidis, et al.
Nature Communications|April 7, 2023
Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiativeChengxi Zang, Yongkang Zhang, Jie Xu, et al.
Pageof 4