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 particulary cancer and neurodegenerative diseases.
I am currently working on a variety of different projects including cancer survival, drug utilisation, and Mendelian randomization studies.
Recent publications
-
AF and in-hospital mortality in COVID-19 patients
Journal article
Kotadia ID. et al, (2023), Heart rhythm o2, 4, 700 - 707
-
The impact of the COVID-19 pandemic on short-term cancer survival in the United Kingdom: a cohort analysis
Preprint
Barclay NL. et al, (2023)
-
Artificial Intelligence for Dementia Prevention
Journal article
NEWBY D. et al, (2023), Alzheimer's and dementia
-
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
-
The cause-effect relationship between sclerostin levels, cardiovascular biomarkers, risk factors, and cardiovascular disease
Preprint
Prieto-Alhambra D. et al, (2023)