Research groups
Danielle Newby
Postdoctoral Data Scientist
I joined NDORMS in April 2022 from the Department of Psychiatry where I led projects related to drug repurposing and understanding the risk factors of dementia. I have a multidisciplinary background in epidemiology, pharmacology, and machine learning. My complete publication list can be found here.
My main research interests involve triangulating evidence from multiple sources such as medical records and genetic data to understand more about what causes certain diseases and what we can do to intervene with new or existing interventions. Understanding these relationships will provide an evidence base to support public health interventions for a wide variety of health conditions.
I am currently working on a variety of different projects including cancer survival, drug utilisation, and Mendelian randomization studies.
Recent publications
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Artificial Intelligence for Dementia Prevention
Journal article
NEWBY D. et al, (2023), Alzheimer's and dementia
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Genetic risk, adherence to healthy lifestyle and acute cardiovascular and thromboembolic complications following SARS-COV-2 infection.
Journal article
Xie J. et al, (2023), Nat commun, 14
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The cause-effect relationship between sclerostin levels, cardiovascular biomarkers, risk factors, and cardiovascular disease
Preprint
Prieto-Alhambra D. et al, (2023)
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Artificial intelligence for dementia-Applied models and digital health.
Journal article
Lyall DM. et al, (2023), Alzheimers dement
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The Impact of the UK COVID-19 Lockdown on the Screening, Diagnostics and Incidence of Breast, Colorectal, Lung and Prostate Cancer in the UK: a Population-Based Cohort Study
Preprint
Barclay NL. et al, (2023)