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Aging
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August 8, 2017
Machine learning for predicting lifespan-extending chemical compounds
Diogo G Barardo, Danielle Newby, Daniel Thornton, et al.
JCPP Advances
|
September 13, 2021
COVID-19 partial school closures and mental health problems: A cross-sectional survey of 11,000 adolescents to determine those most at risk
Karen L Mansfield, Danielle Newby, Emma Soneson, et al.
Age and Ageing
|
May 24, 2024
Trends of use and characterisation of anti-dementia drugs users: a large multinational-network population-based study
Carlen Reyes, Danielle Newby, Berta Raventós, et al.
Journal of Alzheimer'S Disease : JAD
|
October 25, 2021
Associations Between Brain Volumes and Cognitive Tests with Hypertensive Burden in UK Biobank
Danielle Newby, Laura Winchester, William Sproviero, et al.
Brain and Behavior
|
April 1, 2022
The relationship between isolated hypertension with brain volumes in UK Biobank
Danielle Newby, Laura Winchester, William Sproviero, et al.
BMJ Mental Health
|
March 20, 2024
Tracing Tomorrow: young people's preferences and values related to use of personal sensing to predict mental health, using a digital game methodology
Gabriela Pavarini, David M Lyreskog, Danielle Newby, et al.
Nature Communications
|
November 13, 2024
Effect of genetically predicted sclerostin on cardiovascular biomarkers, risk factors, and disease outcomes
Marta Alcalde-Herraiz, JunQing Xie, Danielle Newby, et al.
International Journal of Medical Informatics
|
February 15, 2022
Validation of UK Biobank data for mental health outcomes: A pilot study using secondary care electronic health records
Zhenpeng Li, Andrey Kormilitzin, Marco Fernandes, et al.
Aging Cell
|
October 13, 2025
Phosphodiesterase-5 Inhibition and Alzheimer's Disease Risk: A Mendelian Randomisation Study
Marta Alcalde-Herraiz, Benjamin Woolf, Junqing Xie, et al.
Nature Communications
|
August 3, 2023
Genetic risk, adherence to healthy lifestyle and acute cardiovascular and thromboembolic complications following SARS-COV-2 infection
Junqing Xie, Yuliang Feng, Danielle Newby, et al.
Page
of 6
Search research articles
Search
Showing results (11-20 of 53) with videos related to
Sort By:
Page
of 6
Aging
|
August 8, 2017
Machine learning for predicting lifespan-extending chemical compounds
Diogo G Barardo, Danielle Newby, Daniel Thornton, et al.
JCPP Advances
|
September 13, 2021
COVID-19 partial school closures and mental health problems: A cross-sectional survey of 11,000 adolescents to determine those most at risk
Karen L Mansfield, Danielle Newby, Emma Soneson, et al.
Age and Ageing
|
May 24, 2024
Trends of use and characterisation of anti-dementia drugs users: a large multinational-network population-based study
Carlen Reyes, Danielle Newby, Berta Raventós, et al.
Journal of Alzheimer'S Disease : JAD
|
October 25, 2021
Associations Between Brain Volumes and Cognitive Tests with Hypertensive Burden in UK Biobank
Danielle Newby, Laura Winchester, William Sproviero, et al.
Brain and Behavior
|
April 1, 2022
The relationship between isolated hypertension with brain volumes in UK Biobank
Danielle Newby, Laura Winchester, William Sproviero, et al.
BMJ Mental Health
|
March 20, 2024
Tracing Tomorrow: young people's preferences and values related to use of personal sensing to predict mental health, using a digital game methodology
Gabriela Pavarini, David M Lyreskog, Danielle Newby, et al.
Nature Communications
|
November 13, 2024
Effect of genetically predicted sclerostin on cardiovascular biomarkers, risk factors, and disease outcomes
Marta Alcalde-Herraiz, JunQing Xie, Danielle Newby, et al.
International Journal of Medical Informatics
|
February 15, 2022
Validation of UK Biobank data for mental health outcomes: A pilot study using secondary care electronic health records
Zhenpeng Li, Andrey Kormilitzin, Marco Fernandes, et al.
Aging Cell
|
October 13, 2025
Phosphodiesterase-5 Inhibition and Alzheimer's Disease Risk: A Mendelian Randomisation Study
Marta Alcalde-Herraiz, Benjamin Woolf, Junqing Xie, et al.
Nature Communications
|
August 3, 2023
Genetic risk, adherence to healthy lifestyle and acute cardiovascular and thromboembolic complications following SARS-COV-2 infection
Junqing Xie, Yuliang Feng, Danielle Newby, et al.
Page
of 6