TY - GEN
T1 - SOIN-MI Data Lab
T2 - 32nd Medical Informatics Europe Conference, MIE 2022
AU - Bergin, Ciara
AU - Mantel, Irmela
AU - Schlingemann, Reinier O.
AU - Tomasoni, Mattia
AU - Wolfensberger, Thomas J.
N1 - Publisher Copyright: © 2022 European Federation for Medical Informatics (EFMI) and IOS Press.
PY - 2022/5/25
Y1 - 2022/5/25
N2 - The Swiss Ophthalmic Image Network (SOIN) is part of the Swiss Personalized Health Network (SPHN). SOIN contains a collaborative, clinical research environment, MI Data Lab, which allows privacy-preserving, data-driven, research. Personalized care of chronic ocular disease, based on Machine Learning (ML) and medical imaging, can dramatically improve quality of life and reduce the burden on health and social care systems. MI Data Lab allows research partners to consolidate their data in a space where doctors and data scientists cooperate to design novel ML algorithms, on curated datasets. To date, we have created several algorithms to detect ocular biomarkers automatically, and applied such tools to 100k+ retinal images. MI Data Lab enables the development of predictive models, the extraction novel traits to be explored in terms of-omic associations, treatment outcome, and priors for disease progression.
AB - The Swiss Ophthalmic Image Network (SOIN) is part of the Swiss Personalized Health Network (SPHN). SOIN contains a collaborative, clinical research environment, MI Data Lab, which allows privacy-preserving, data-driven, research. Personalized care of chronic ocular disease, based on Machine Learning (ML) and medical imaging, can dramatically improve quality of life and reduce the burden on health and social care systems. MI Data Lab allows research partners to consolidate their data in a space where doctors and data scientists cooperate to design novel ML algorithms, on curated datasets. To date, we have created several algorithms to detect ocular biomarkers automatically, and applied such tools to 100k+ retinal images. MI Data Lab enables the development of predictive models, the extraction novel traits to be explored in terms of-omic associations, treatment outcome, and priors for disease progression.
KW - MI Data Lab
KW - Personalized medicine
KW - SOIN
KW - dynamic patient consent
KW - ophthalmology
KW - research platform
KW - scientific IT services
KW - sensitive data
UR - http://www.scopus.com/inward/record.url?scp=85131106114&partnerID=8YFLogxK
U2 - https://doi.org/10.3233/SHTI220457
DO - https://doi.org/10.3233/SHTI220457
M3 - Conference contribution
C2 - 35612076
VL - 294
T3 - Studies in Health Technology and Informatics
SP - 281
EP - 282
BT - Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022
A2 - Seroussi, Brigitte
A2 - Weber, Patrick
A2 - Dhombres, Ferdinand
A2 - Grouin, Cyril
A2 - Liebe, Jan-David
A2 - Pelayo, Sylvia
A2 - Pinna, Andrea
A2 - Rance, Bastien
A2 - Sacchi, Lucia
A2 - Ugon, Adrien
A2 - Benis, Arriel
A2 - Gallos, Parisis
PB - IOS Press BV
Y2 - 27 May 2022 through 30 May 2022
ER -