Predicting AD: results from the TADPOLE Challenge

The TADPOLE Challenge has identified better ways to predict the development of Alzheimer’s disease (AD) that may improve the selection of patients for clinical trials, researchers have reported.

One possible reason why many trials in AD conducted to date have failed is that they may have included the wrong patients, according to Dr Razvan Marinescu of University College London, UK. Better methods for predicting the AD development could therefore improve clinical trial design.

As part of The Alzheimer’s Disease Prediction of Longitudinal Evolution (TADPOLE) challenge, Dr Marinescu and colleagues assessed 92 algorithms submitted by 33 international teams.

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