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2023
Su C
,
Hou Y
,
Zhou M
,
Rajendran S
,
Maasch JRMA
,
Abedi Z
,
Zhang H
,
Bai Z
,
Cuturrufo A
,
Guo W
et al.
. 2023.
Biomedical discovery through the integrative biomedical knowledge hub (iBKH).
.
iScience. 26(4):106460.
Wang D
,
Fan F
,
Wu Z
,
Liu R
,
Wang F
,
Yu H
. 2023.
CTformer: convolution-free Token2Token dilated vision transformer for low-dose CT denoising.
.
Phys Med Biol. 68(6)
Rajendran S
,
Xu Z
,
Pan W
,
Ghosh A
,
Wang F
. 2023.
Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care.
.
PLOS Digit Health. 2(3):e0000117.
Zang C
,
Zhang Y
,
Xu J
,
Bian J
,
Morozyuk D
,
Schenck EJ
,
Khullar D
,
Nordvig AS
,
Shenkman EA
,
Rothman RL
et al.
. 2023.
Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative.
.
Nat Commun. 14(1):1948.
Zhang H
,
Zang C
,
Xu Z
,
Zhang Y
,
Xu J
,
Bian J
,
Morozyuk D
,
Khullar D
,
Zhang Y
,
Nordvig AS
et al.
. 2023.
Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes.
.
Nat Med. 29(1):226-235.
Varma JK
,
Zang C
,
Carton TW
,
Block JP
,
Khullar DJ
,
Zhang Y
,
Weiner MG
,
Rothman RL
,
Schenck EJ
,
Xu Z
et al.
. 2023.
Excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States: An EHR-based cohort study from the RECOVER Program.
.
medRxiv.
Zhang Y
,
Hu H
,
Fokaidis V
,
V CLewis
,
Xu J
,
Zang C
,
Xu Z
,
Wang F
,
Koropsak M
,
Bian J
et al.
. 2023.
Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program.
.
Environ Adv. 11:100352.
Xu J
,
Zhang H
,
Zhang H
,
Bian J
,
Wang F
. 2023.
Machine learning enabled subgroup analysis with real-world data to inform clinical trial eligibility criteria design.
.
Sci Rep. 13(1):613.
Mehta B
,
Goodman S
,
DiCarlo E
,
Jannat-Khah D
,
J Gibbons AB
,
Otero M
,
Donlin L
,
Pannellini T
,
Robinson WH
,
Sculco P
et al.
. 2023.
Machine learning identification of thresholds to discriminate osteoarthritis and rheumatoid arthritis synovial inflammation.
.
Arthritis Res Ther. 25(1):31.
Adekkanattu P
,
Rasmussen LV
,
Pacheco JA
,
Kabariti J
,
Stone DJ
,
Yu Y
,
Jiang G
,
Luo Y
,
Brandt PS
,
Xu Z
et al.
. 2023.
Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study.
.
Sci Rep. 13(1):294.
Khullar D
,
Zhang Y
,
Zang C
,
Xu Z
,
Wang F
,
Weiner MG
,
Carton TW
,
Rothman RL
,
Block JP
,
Kaushal R
. 2023.
Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER Program.
.
J Gen Intern Med. :1-10.
Zang C
,
Hou Y
,
Schenck E
,
Xu Z
,
Zhang Y
,
Xu J
,
Bian J
,
Morozyuk D
,
Khullar D
,
Nordvig A
et al.
. 2023.
Risk Factors and Predictive Modeling for Post-Acute Sequelae of SARS-CoV-2 Infection: Findings from EHR Cohorts of the RECOVER Initiative.
.
Res Sq.
Zhou M
,
Zhang H
,
Bai Z
,
Mann-Krzisnik D
,
Wang F
,
Li Y
. 2023.
Single-cell multi-omic topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures.
.
bioRxiv.
2024
Pan W
,
Xu Z
,
Rajendran S
,
Wang F
. 2024.
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals.
.
Patterns (N Y). 5(1):100898.
Bruno AM
,
Zang C
,
Xu Z
,
Wang F
,
Weiner MG
,
Guthe N
,
Fitzgerald M
,
Kaushal R
,
Carton TW
,
Metz TD
. 2024.
Association between acquiring SARS-CoV-2 during pregnancy and post-acute sequelae of SARS-CoV-2 infection: RECOVER electronic health record cohort analysis.
.
EClinicalMedicine. 73:102654.
He X-Y
,
Gao Y
,
Ng D
,
Michalopoulou E
,
George S
,
Adrover JM
,
Sun L
,
Albrengues J
,
Daßler-Plenker J
,
Han X
et al.
. 2024.
Chronic stress increases metastasis via neutrophil-mediated changes to the microenvironment.
.
Cancer Cell. 42(3):474-486.e12.
He X
,
Wei R
,
Huang Y
,
Chen Z
,
Lyu T
,
Bost S
,
Tong J
,
Li L
,
Zhou Y
,
Li Z
et al.
. 2024.
Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data.
.
Alzheimers Dement (Amst). 16(3):e12613.
Su C
,
Hou Y
,
Xu J
,
Xu Z
,
Zhou M
,
Ke A
,
Li H
,
Xu J
,
Brendel M
,
Maasch JRMA
et al.
. 2024.
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data.
.
NPJ Digit Med. 7(1):184.
Zang C
,
Hou Y
,
Schenck EJ
,
Xu Z
,
Zhang Y
,
Xu J
,
Bian J
,
Morozyuk D
,
Khullar D
,
Nordvig AS
et al.
. 2024.
Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts.
.
Commun Med (Lond). 4(1):130.
Wang F
,
Beecy A
. 2024.
Implementing AI models in clinical workflows: a roadmap.
.
BMJ Evid Based Med.
Lyu D
,
Wang X
,
Chen Y
,
Wang F
. 2024.
Language model and its interpretability in biomedicine: A scoping review.
.
iScience. 27(4):109334.
Rajendran S
,
Pan W
,
Sabuncu MR
,
Chen Y
,
Zhou J
,
Wang F
. 2024.
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation.
.
Patterns (N Y). 5(2):100913.
S R
,
Q Z
,
J M
,
M M
,
K M
,
Z R
,
O E
,
N Z
,
I H
. 2024.
O-321 A foundation model for embryology trained on time-lapse images
.
Human Reproduction. 39(Supplement 1 July 2024)
Zhou M
,
Zhang H
,
Bai Z
,
Mann-Krzisnik D
,
Wang F
,
Li Y
. 2024.
Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique.
.
STAR Protoc. 5(2):103066.
Bai Z
,
Bartelo N
,
Aslam M
,
Murphy EA
,
Hale CR
,
Blachere NE
,
Parveen S
,
Spolaore E
,
DiCarlo E
,
Gravallese EM
et al.
. 2024.
Synovial fibroblast gene expression is associated with sensory nerve growth and pain in rheumatoid arthritis.
.
Sci Transl Med. 16(742):eadk3506.
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