Population Health Sciences

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Found 308 results
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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, 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.