Professor Nophar Geifman

Professor of Health and Biomedical Informatics



Nophar Geifman, Narges Azadbakht, Jiaping Zeng, Toby Wilkinson, Nick Dand, Catherine H. Smith, Iain Buchan, Deborah Stocken, Nick J. Reynolds, Michael R. Barnes, Richard B. Warren, Jonathan Barker, Christopher E. M. Griffiths, Niels Peek (2021) Defining trajectories of response in patients with psoriasis treated with biologic therapies
Stephanie JW Shoop-Worrall, Katherine Cresswell, Imogen Bolger, Beth Dillon, Kimme L Hyrich, and Nophar Geifman (2021) Nothing about us without us: involving patient collaborations for machine learning applications in rheumatology
John Reynolds, Jen Prattely, Nophar Geifman, Mark Lunt, MASTERPLANS Consortium, Caroline Gordon, and Ian Bruce (2021) Distinct patterns of disease activity over time in patients with active SLE revealed using latent class trajectory models
Angelica Arioli, Arianna Dagliati, Niels Peek, Philip Kalra, Anthony D. Whetton, and Nophar Geifman (2021) OptiMissP: a dashboard to assess missingness in proteomic data-independent acquisition mass spectrometry.
Arianna Dagliati, Roberta Diaz-Brinton, Niels Peek, and Nophar Geifman (2021) Sex and APOE genotype differences related to statin use in the aging population.
Georgina Torrandell-Haro, Gregory L. Branigan, Francesca Vitali, Nophar Geifman, Julie M. Zissimopoulos, and Roberta Diaz Brinton (2020) Statin therapy and risk of Alzheimer's and age‐related neurodegenerative diseases.
Adrian Heald, Narges Azadbakht, Bethany Geary, Nophar Geifman, Helene Fachim, Oliver Howes, Anthony Whetton, and Bill Deakin (2020) Application of SWATH mass spectrometry in the identification of circulating proteins that predict future weight gain in early psychosis.
Anthony D. Whetton, George W. Preston, Semira Abubeker, and Nophar Geifman (2020) Proteomics and informatics for understanding phases and identifying biomarkers in COVID-19 disease
Helen Le Sueur, Arianna Dagliati, Iain Buchan, Anthony D. Whetton, Glen P. Martin, Tim Dornan, and Nophar Geifman (2020) Pride and Prejudice – what can we learn from peer review?
Arianna Dagliati, Nophar Geifman, Niels Peek, John Holmes Lucia Sacchi, Riccardo Bellazzi, Seyed Erfan Sajjadi, and Allan Tucker (2020) Using Topological Data Analysis and Pseudo Time Series to Infer Temporal Phenotypes from Electronic Health Records
Francesca Vitali, Giovanna Nicora, Arianna Dagliati, Nophar Geifman and Riccardo Bellazzi (2020) Integrated multi-omics analyses in oncology: a review of machine learning methods and tools
Arianna Dagliati, Darren Plant, Nisha Nair, Meghna Jani, Beatrice Amico, Niels Peek, Anne Morgan, John Isaacs, Anthony Wilson, Kimme Hyrich, Nophar Geifman, and Anne Barton (2020) Latent Class Trajectory Modeling of 2-Component Disease Activity Score in 28 Joints Identifies Multiple Rheumatoid Arthritis Phenotypes of Response to Biologic Disease-Modifying Antirheumatic Drugs.
Lorenzo Chiudinelli, Arianna Dagliati, Valentina Tibollo, Sara Albasini, Nophar Geifman, Niels Peek, John H. Holmes, Fabio Corsi, Riccardo Bellazzi, Lucia Sacchi (2020) Mining post-surgical care processes in breast cancer patients
Beatrice Amico, Arianna Dagliati, Darren Plant, Anne Barton, Niels Peek, and Nophar Geifman (2019) A Dashboard for Latent Class Trajectory Modelling: application in Rheumatoid Arthritis.
Kathryn A. McGurk, Arianna Dagliati, Davide Chiasserini, Dave Lee, Darren Plant, Ivona Baricevic-Jones, Janet Kelsall, Rachael Eineman, Rachel Reed, Bethany Geary, Richard Unwin, Anna Nicolaou, Bernard Keavney, Anne Barton, Anthony Whetton, Nophar Geifman (2019) The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination.
Matea Deliu, Sara Fontanella, Sadia Haider, Matthew Sperrin, Nophar Geifman, Clare Murray, Angela Simpson, and Adnan Custovic (2019) Longitudinal trajectories of severe wheeze exacerbations from infancy to school age and their association with early-life risk factors and late asthma outcomes.
Toby Wilkinson, Siddharth Sinha, Niels Peek, and Nophar Geifman (2019) Clinical trial data reuse – overcoming the complexities in trial design and data sharing.
Nophar Geifman, Richard E. Kennedy, Lon S. Schneider, Iain Buchan and Roberta Diaz Brinton (2018) Data-Driven Identification of Endophenotypes of Alzheimer’s Disease Progression: Implications for Clinical Trials and Therapeutic Interventions
Nophar Geifman, Roberta Diaz Brinton, Richard E. Kennedy, Lon S. Schneider and Atul J. Butte (2017) Evidence for benefit of statins to modify cognitive decline and risk in Alzheimer’s disease
Nophar Geifman, Sanchita Bhattacharya, Jennifer Bollyky and Atul J. Butte (2015) Opening Clinical Trial Data: Are The Voluntary Data Sharing Portals Enough?
Nophar Geifman, Izhak Haviv, Razelle Kurzrock and Eitan Rubin (2014) Promoting Precision Cancer Medicine through a Community-Driven Knowledgebase.
Nophar Geifman, Raphael Cohen and Eitan Rubin (2013) Redefining meaningful age groups in context of disease
Nophar Geifman and Eitan Rubin (2012) The Age-Phenome Database
Nophar Geifman and Eitan Rubin (2011) Towards an Age-Phenome Knowledgebase
Ammara Muazzam, Davide Chiasserini, Janet Kelsall, Nophar Geifman, Anthony D Whetton, and Paul A Townsend (2021) A Prostate Cancer Proteomics Database for SWATH-MS based Protein Quantification.
Britt W Jensen, Charlotte Watson, Nophar Geifman, Jennifer L Baker, Ellena Badrick, Andrew G Renehan (2022) Weight changes in type 2 diabetes and cancer risk: a latent class trajectory model study