Hasil Pencarian - Nophar Geifman

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  1. 1
    The mouse age phenome knowledgebase and disease-specific inter-species age mapping.

    The mouse age phenome knowledgebase and disease-specific inter-species age mapping. oleh Nophar Geifman, Eitan Rubin

    Diterbitkan 2013-01-01
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  2. 2
    A consideration of publication-derived immune-related associations in Coronavirus and related lung damaging diseases

    A consideration of publication-derived immune-related associations in Coronavirus and related lung damaging diseases oleh Nophar Geifman, Anthony D. Whetton

    Diterbitkan 2020-08-01
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  3. 3
    New drug candidates for treatment of atypical meningiomas: An integrated approach using gene expression signatures for drug repurposing.

    New drug candidates for treatment of atypical meningiomas: An integrated approach using gene expression signatures for drug repurposing. oleh Zsolt Zador, Andrew T King, Nophar Geifman

    Diterbitkan 2018-01-01
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  4. 4
    Associations of specific-age and decade recall body mass index trajectories with obesity-related cancer

    Associations of specific-age and decade recall body mass index trajectories with obesity-related cancer oleh Charlotte Watson, Andrew G. Renehan, Nophar Geifman

    Diterbitkan 2021-05-01
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  5. 5
    Clinical trial data reuse – overcoming complexities in trial design and data sharing

    Clinical trial data reuse – overcoming complexities in trial design and data sharing oleh Toby Wilkinson, Siddharth Sinha, Niels Peek, Nophar Geifman

    Diterbitkan 2019-08-01
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  6. 6
    Artificial intelligence driven definition of food preference endotypes in UK Biobank volunteers is associated with distinctive health outcomes and blood based metabolomic and proteomic profiles

    Artificial intelligence driven definition of food preference endotypes in UK Biobank volunteers is associated with distinctive health outcomes and blood based metabolomic and prote... oleh Hana F. Navratilova, Anthony D. Whetton, Nophar Geifman

    Diterbitkan 2024-10-01
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  7. 7
    Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools

    Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools oleh Giovanna Nicora, Francesca Vitali, Francesca Vitali, Francesca Vitali, Arianna Dagliati, Arianna Dagliati, Arianna Dagliati, Nophar Geifman, Nophar Geifman, Riccardo Bellazzi

    Diterbitkan 2020-06-01
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  8. 8
    Sex and APOE genotype differences related to statin use in the aging population

    Sex and APOE genotype differences related to statin use in the aging population oleh Arianna Dagliati, Niels Peek, Roberta Diaz Brinton, Nophar Geifman

    Diterbitkan 2021-01-01
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  9. 9
    Multimorbidity states associated with higher mortality rates in organ dysfunction and sepsis: a data-driven analysis in critical care

    Multimorbidity states associated with higher mortality rates in organ dysfunction and sepsis: a data-driven analysis in critical care oleh Zsolt Zador, Alexander Landry, Michael D. Cusimano, Nophar Geifman

    Diterbitkan 2019-07-01
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  10. 10
    Identifying developments over a decade in the digital health and telemedicine landscape in the UK using quantitative text mining

    Identifying developments over a decade in the digital health and telemedicine landscape in the UK using quantitative text mining oleh Nophar Geifman, Jo Armes, Anthony D. Whetton, Anthony D. Whetton

    Diterbitkan 2023-04-01
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  11. 11
    Associations of Diet with Health Outcomes in the UK Biobank: A Systematic Review

    Associations of Diet with Health Outcomes in the UK Biobank: A Systematic Review oleh Hana F. Navratilova, Susan Lanham-New, Anthony D. Whetton, Nophar Geifman

    Diterbitkan 2024-02-01
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  12. 12
    The challenges in data integration – heterogeneity and complexity in clinical trials and patient registries of Systemic Lupus Erythematosus

    The challenges in data integration – heterogeneity and complexity in clinical trials and patient registries of Systemic Lupus Erythematosus oleh Helen Le Sueur, Ian N. Bruce, Nophar Geifman, on behalf of the MASTERPLANS Consortium

    Diterbitkan 2020-06-01
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  13. 13
    Data-driven identification of endophenotypes of Alzheimer’s disease progression: implications for clinical trials and therapeutic interventions

    Data-driven identification of endophenotypes of Alzheimer’s disease progression: implications for clinical trials and therapeutic interventions oleh Nophar Geifman, Richard E. Kennedy, Lon S. Schneider, Iain Buchan, Roberta Diaz Brinton

    Diterbitkan 2018-01-01
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  14. 14
    Weight Changes in Type 2 Diabetes and Cancer Risk: A Latent Class Trajectory Model Study

    Weight Changes in Type 2 Diabetes and Cancer Risk: A Latent Class Trajectory Model Study oleh Britt W. Jensen, Charlotte Watson, Nophar Geifman, Jennifer L. Baker, Ellena Badrick, Andrew G. Renehan

    Diterbitkan 2021-12-01
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  15. 15
    Statin therapy and risk of Alzheimer's and age‐related neurodegenerative diseases

    Statin therapy and risk of Alzheimer's and age‐related neurodegenerative diseases oleh Georgina Torrandell‐Haro, Gregory L. Branigan, Francesca Vitali, Nophar Geifman, Julie M. Zissimopoulos, Roberta Diaz Brinton

    Diterbitkan 2020-01-01
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  16. 16
    OptiMissP: A dashboard to assess missingness in proteomic data-independent acquisition mass spectrometry.

    OptiMissP: A dashboard to assess missingness in proteomic data-independent acquisition mass spectrometry. oleh Angelica Arioli, Arianna Dagliati, Bethany Geary, Niels Peek, Philip A Kalra, Anthony D Whetton, Nophar Geifman

    Diterbitkan 2021-01-01
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  17. 17
    Distinct patterns of disease activity over time in patients with active SLE revealed using latent class trajectory models

    Distinct patterns of disease activity over time in patients with active SLE revealed using latent class trajectory models oleh John A. Reynolds, Jennifer Prattley, Nophar Geifman, Mark Lunt, Caroline Gordon, Ian N. Bruce, on behalf of the MASTERPLANS Consortium

    Diterbitkan 2021-07-01
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  18. 18
    Challenges in Lipidomics Biomarker Identification: Avoiding the Pitfalls and Improving Reproducibility

    Challenges in Lipidomics Biomarker Identification: Avoiding the Pitfalls and Improving Reproducibility oleh Johanna von Gerichten, Kyle Saunders, Melanie J. Bailey, Lee A. Gethings, Anthony Onoja, Nophar Geifman, Matt Spick

    Diterbitkan 2024-08-01
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  19. 19
    Observations from Statistical Review Editors: A Commentary

    Observations from Statistical Review Editors: A Commentary oleh Matt Spick, Jan Higgins, Cynthia L. Green, Roland Matsouaka, Daniel B. Shin, Russell P. Hall, III, Nophar Geifman

    Diterbitkan 2024-11-01
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  20. 20
    Meta-Analysis of COVID-19 Metabolomics Identifies Variations in Robustness of Biomarkers

    Meta-Analysis of COVID-19 Metabolomics Identifies Variations in Robustness of Biomarkers oleh Anthony Onoja, Johanna von Gerichten, Holly-May Lewis, Melanie J. Bailey, Debra J. Skene, Nophar Geifman, Matt Spick

    Diterbitkan 2023-09-01
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