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

Partners

Erasmus MC
Triangles 2

Let’s collaborate

Are you a researcher who could benefit from our eScience skills and experience? Reach out to us today and let’s explore how we can work together.

Collaborate
Updates

Stay abreast of our latest news, events and funding opportunities

  • Dit veld is bedoeld voor validatiedoeleinden en moet niet worden gewijzigd.