Nature Search

Long COVID after SARS-CoV-2 during pregnancy in the United States

The influence of pregnancy on Long COVID is not well understood. Here, the authors use electronic health record data from the United States to compare the incidence of Long COVID in females after infection in pregnancy with matched non-pregnant females of reproductive age.

Chengxi Zang
Daniel Guth
Thomas W. Carton
ResearchOpen Access01 Apr 2025
Nature Communications

Volume: 16, P: 1-14
Federated target trial emulation using distributed observational data for treatment effect estimation

Haoyang Li
Chengxi Zang
Fei Wang
ResearchOpen Access01 Jul 2025
npj Digital Medicine

Volume: 8, P: 1-15
Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory

Corticosteroids shorten organ dysfunction in sepsis and related illnesses, but their risks and benefits remain unclear. Here, the authors show that machine learning-based trajectory prediction can reveal how corticosteroid effects vary by patient profile.

Suraj Rajendran
Zhenxing Xu
Fei Wang
ResearchOpen Access13 May 2025
Nature Communications

Volume: 16, P: 1-10
Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes

Machine learning applied to electronic health records in two US cohorts from the RECOVER initiative identified four Long-COVID subphenotypes that differ in the involvement of organ systems, previous SARS-CoV-2 infection severity and underlying conditions.

Hao Zhang
Chengxi Zang
Rainu Kaushal
ResearchOpen Access01 Dec 2022
Nature Medicine

Volume: 29, P: 226-235
Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative

In this study, the authors characterise post-acute sequelae of SARS-CoV-2 (PASC) in two large cohorts based on electronic health records from the USA. They identify a broad range of PASC-related conditions which were only partially replicated across the two cohorts, indicating possible heterogeneity between populations.

Chengxi Zang
Yongkang Zhang
Rainu Kaushal
ResearchOpen Access07 Apr 2023
Nature Communications

Volume: 14, P: 1-14
High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data

Target trial emulation (TTE) simulates randomized controlled trials using real world data (RWD). Here, authors show the effectiveness of different TTE strategies to identify drug candidates that could be potentially repurposed to Alzheimer’s disease using two large scale RWD warehouses.

Chengxi Zang
Hao Zhang
Fei Wang
ResearchOpen Access11 Dec 2023
Nature Communications

Volume: 14, P: 1-16
Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts

Zang et al. use RECOVER EHR data to study Long COVID risk factors and apply mathematical modeling to predict the development of long COVID conditions. They find that severe acute SARS-CoV-2 infection, being underweight, and having baseline comorbidities are likely associated with increased risk of having Long COVID.

Chengxi Zang
Yu Hou
Rainu Kaushal
ResearchOpen Access11 Jul 2024
Communications Medicine

Volume: 4, P: 1-13
Accuracy and transportability of machine learning models for adolescent suicide prediction with longitudinal clinical records

Chengxi Zang
Yu Hou
Fei Wang
ResearchOpen Access31 Jul 2024
Translational Psychiatry

Volume: 14, P: 1-11
A network-based systems genetics framework identifies pathobiology and drug repurposing in Parkinson’s disease

Lijun Dou
Zhenxing Xu
Feixiong Cheng
ResearchOpen Access22 Jan 2025
npj Parkinson's Disease

Volume: 11, P: 1-16
Development of a screening algorithm for borderline personality disorder using electronic health records

Chengxi Zang
Marianne Goodman
Nan Shao
ResearchOpen Access13 Jul 2022
Scientific Reports

Volume: 12, P: 1-12
Emerging opportunities of using large language models for translation between drug molecules and indications

David Oniani
Jordan Hilsman
Yanshan Wang
ResearchOpen Access10 May 2024
Scientific Reports

Volume: 14, P: 1-10
Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records

Jie Xu
Fei Wang
Jyotishman Pathak
ResearchOpen Access19 May 2023
Scientific Reports

Volume: 13, P: 1-8

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