XClose

UCL Computer Science

Home
Menu

TADPOLE Challenge to predict Alzheimer’s progression concludes

17 June 2019

The winners of a global challenge led by UCL to predict the evolution of Alzheimer’s disease (AD) have been announced today.

montage of winning students and teams

The Alzheimer’s Disease Prediction of Longitudinal Evolution (TADPOLE) Challenge has been running for the last 23 months, with participants from across the globe.

TADPOLE is a collaboration between the EuroPOND consortium, led by UCL, and the Alzheimer’s Disease Neuroimaging Initiative (ADNI).

Professor Daniel Alexander (UCL Computer Science), project lead of TADPOLE, said: “This has been a unique and inspiring challenge that has brought together a wide international community of computer scientists, statisticians, and clinical experts to advance the state of the art in a focussed challenge of predicting onset, development, and progression of AD. We hope the outcomes will make steps towards realising disease-modifying treatments in one of the biggest current healthcare challenges we face”.

Participants had to use data provided willingly by anonymous patients and use it to predict the progression of patients with AD. Specifically, they had to predict clinical status, whether any clinical exams defined the subject’s AD as expected or not, predict a score on a cognitive test and a measure of brain shrinkage from MRI.

The winning teams in various categories won a £5,000 prizes each, with some additional runner-up teams winning £2,500 each.

The award-winning teams’ details are below.

 

Category

Team

Members

Institution

Country

Prize

Overall best

Frog

Keli Liu, Paul Manser, Christina Rabe

Genentech

USA

£5000

Clinical status

Frog

Keli Liu, Paul Manser, Christina Rabe

Genentech

USA

£5000

Ventricle volume

EMC1

Vikram Venkatraghavan,  Esther Bron, Stefan Klein

Erasmus MC

Netherlands

£5000

Best university team

Apocalypse

Manon Ansart

ICM, INRIA

France

£5000

High-School (best)

Chen-MCW

Gang Chen

Medical College Wisconsin

USA

£5000

High-School (runner up)

CyberBrains

Ionut Buciuman, Alex Kelner, Raluca Pop, Denisa Rimocea, Kruk Zsolt

Vasile Lucaciu College

Romania

£2500

Overall best D3 prediction

GlassFrog

Steven Hill, Brian Tom, Anais Rouanst, Zhiyue Huang, James Howlett, Steven Kiddle, Simon R. White, Sach Mukherjee, Bernd Taschler

Cambridge University

UK

£2500

 

The prizes were funded by Alzheimer’s Research UK, the Alzheimer’s Association and Alzheimer’s Society.

Article: Kate Corry - UCL Media Relations