Imperial College London
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DrSarahMarzi

Faculty of Medicine, Department of Brain Sciences

Honorary Senior Lecturer
 
 
 
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Contact

 

s.marzi

 
 
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Location

 

Burlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ranson:2022:10.1002/alz.067308,
author = {Ranson, JM and Khleifat, AA and Lyall, DM and Newby, D and Winchester, LM and Proitsi, P and Veldsman, M and Rittman, T and Marzi, S and Yao, Z and Skene, N and Bettencourt, C and Kormilitzin, A and Foote, IF and Golborne, C and Lourida, I and Bucholc, M and Tang, E and Oxtoby, NP and Bagshaw, P and Walker, Z and Everson, R and Ballard, CG and van, Duijn CM and Langa, KM and MacLeod, M and Rockwood, K and Llewellyn, DJ},
doi = {10.1002/alz.067308},
journal = {Alzheimer's and Dementia},
pages = {1--2},
title = {The deep dementia phenotyping (DEMON) network: a global platform for innovation using data science and artificial intelligence.},
url = {http://dx.doi.org/10.1002/alz.067308},
volume = {18},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BACKGROUND: The increasing availability of large high-dimensional data from experimental medicine, population-based and clinical cohorts, clinical trials, and electronic health records has the potential to transform dementia research. Our ability to make best use of this rich data will depend on utilisation of advanced machine learning and artificial intelligence (AI) techniques and collaboration across disciplinary and geographic boundaries. METHOD: The Deep Dementia Phenotyping (DEMON) Network launched in 20191 to support the growing interest in machine learning and AI. Led by Director Prof David Llewellyn and Deputy Director Dr Janice Ranson, the leadership team additionally includes 5 Theme Leads and 14 Working Group Leads, supported by an international Steering Committee of world-leading academics. Core funding is provided by Alzheimer's Research UK, the Alan Turing Institute and the University of Exeter, with additional support from strategic partners including the UK Dementia Research Institute and the Alzheimer's Society. Grand Challenges were established at a National Strategy Workshop in June 2020. Multidisciplinary Working Groups were formed to coordinate practical activities in seven key areas: Genetics and omics, experimental medicine, drug discovery and trials optimisation, biomarkers, imaging, dementia prevention, and applied models and digital health. Additional Special Interest Groups coordinate topic specific collaborations. RESULT: Membership on 4th February 2022 comprised 1,321 individuals from 61 countries across 6 continents (see Figure). Areas of expertise include dementia research (904; 68%), data science (692; 52%), clinical practice (244; 18%), industry (162; 12%), and regulation (26; 2%). Individual membership is free, and regular knowledge transfer events are provided including a monthly seminar series, talks and workshops, training, networking, and early career development. Each Working Group meets monthly, with multiple grants, reviews
AU  - Ranson,JM
AU  - Khleifat,AA
AU  - Lyall,DM
AU  - Newby,D
AU  - Winchester,LM
AU  - Proitsi,P
AU  - Veldsman,M
AU  - Rittman,T
AU  - Marzi,S
AU  - Yao,Z
AU  - Skene,N
AU  - Bettencourt,C
AU  - Kormilitzin,A
AU  - Foote,IF
AU  - Golborne,C
AU  - Lourida,I
AU  - Bucholc,M
AU  - Tang,E
AU  - Oxtoby,NP
AU  - Bagshaw,P
AU  - Walker,Z
AU  - Everson,R
AU  - Ballard,CG
AU  - van,Duijn CM
AU  - Langa,KM
AU  - MacLeod,M
AU  - Rockwood,K
AU  - Llewellyn,DJ
DO  - 10.1002/alz.067308
EP  - 2
PY  - 2022///
SN  - 1552-5260
SP  - 1
TI  - The deep dementia phenotyping (DEMON) network: a global platform for innovation using data science and artificial intelligence.
T2  - Alzheimer's and Dementia
UR  - http://dx.doi.org/10.1002/alz.067308
UR  - https://www.ncbi.nlm.nih.gov/pubmed/36537478
UR  - https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/alz.067308
VL  - 18
ER  -
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