Population Health Sciences

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Found 103 results

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2023

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.

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.

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.

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.

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.

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.

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.

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, 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.

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.

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.