Population Health Sciences

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Found 321 results
Author Title Type [ Year(Desc)]
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2022
Xu J, Mao C, Hou Y, Luo Y, Binder JL, Zhou Y, Bekris LM, Shin J, Hu M, Wang F et al..  2022.  Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer's disease.. Cell Rep. 41(9):111717.
Adler DA, Wang F, Mohr DC, Choudhury T.  2022.  Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies.. PLoS One. 17(4):e0266516.
Xu Z, Mao C, Su C, Zhang H, Siempos I, Torres LK, Pan D, Luo Y, Schenck EJ, Wang F.  2022.  Sepsis subphenotyping based on organ dysfunction trajectory.. Crit Care. 26(1):197.
Wanyan T, Lin M, Klang E, Menon KM, Gulamali FF, Azad A, Zhang Y, Ding Y, Wang Z, Wang F et al..  2022.  Supervised Pretraining through Contrastive Categorical Positive Samplings to Improve COVID-19 Mortality Prediction.. ACM BCB. 2022
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.
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.
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.
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
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.
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.
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.
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.
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.
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.