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TADPOLE-SHARE

Sharing TADPOLE’s algorithms for reuse and evaluation

Dementia is a complex syndrome with Alzheimer’s disease as its most common form. Currently, no curative treatment for Alzheimer’s disease is available. Therefore, it is crucial to establish an accurate prediction of the disease progression in the early stage of the disease in individual patients. This would enable clinical trials to include the patients in which the treatment is expected to be most effective.

In this project, we plan to build a platform for sharing prediction algorithms for Alzheimer’s disease with the scientific community. The platform will enable further development and improvement of these prediction methods as well as their further validation on other datasets of patients with Alzheimer’s disease.The projects builds onthe TADPOLE challenge (https://tadpole.grand-challenge.org/), in which 62 prediction models – developed by 34 international research teams – were objectively compared [Marinescu et al., 2017].

R.V. Marinescu, N.P. Oxtoby, A.L. Young, E.E. Bron, A.W. Toga, M.W. Weiner, F. Barkhof, N.C. Fox, S. Klein, D.C. Alexander, the EuroPOND Consortium, TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer’s Disease, arXiv, 2018, https://arxiv.org/abs/1805.03909

Participating organisations

Erasmus University Medical Center
Netherlands eScience Center
Life Sciences
Life Sciences

Output

Team

EB
Esther Bron
Carlos Martinez-Ortiz
Carlos Martinez-Ortiz
eScience Research Engineer
Netherlands eScience Center
PP
Pushpanjali Pawar
eScience Research Engineer
Netherlands eScience Center
TK
Tom Klaver
eScience Research Engineer
Netherlands eScience Center
AM
Adriënne Mendrik
eScience Coordinator
Netherlands eScience Center

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