Working Group meetings launch

We’re excited to announce that our inaugural Working Group meetings are now underway. Yesterday Dr Danielle Newby Prevention Working Group Lead from the University of Oxford kicked us off with the our first meeting. This was followed today by Dr Timothy Rittman, University of Cambridge, and Dr Michele Veldsman, University of Oxford, Co-Leads of the Imaging Working Group. We’re staggering the Working Group meetings over the month to make it easier for people who are keen to be involved in more than one. We will be holding regular Working Group meetings in Applied Models and Digital Health, Genetics and Omics, Biomarkers, Experimental Models, Drug Discovery and Trials Optimisation, and Methods Optimisation.

The inaugural Imaging Working Group meeting earlier today

The focus of these meetings will be on our tangible outcomes: collaborative papers and grants, knowledge transfer activities and new partnerships. DEMON Network members are invited to get involved in these Working Group meetings, and between meetings we’ll be using our Working Group Slack channels to throw around ideas. Join the Network here for free if you’re not already a member.

A year on from our launch in November 2019 and we already have 687 members from six continents. The launch of these Working Group meetings is a major step forward in achieving our vision to revolutionise dementia research and healthcare by bringing innovators together and harnessing the power of data science and AI. Thank you to everyone who’s passion has made such fast progress possible.

Prof David Llewellyn
DEMON Network Director

Podcast: Using AI & data to fight dementia

Dr Megan O’Hare interviews Professor Bart De Strooper and Professor David Llewellyn, discussing the new UK Dementia Research Institute and DEMON Network partnership to unlock the potential of Artificial Intelligence (AI).

Professor Bart De Strooper is National Director and Group Leader at the UK Dementia Research Institute and Group Leader in his own research he looks at the cellular and molecular mechanisms underlying Alzheimer’s disease and other neurodegenerative disorders.

Professor David Llewellyn is the DEMON Network Director and a Professor at the University of Exeter Medical School and a Fellow at the Alan Turing Institute. His research aims to enhance the timely detection of dementia, with a focus on developing strategies for primary and secondary prevention using machine learning.

The Deep Dementia Phenotyping (DEMON) Network brings together academics, clinicians and other partners from across the world, and now it has joined forces with the UK Dementia Research Institute. The aim of this new collaboration is to rapidly speed up the transformation of data into clinical and biologically relevant knowledge in neurodegeneration research, to strengthen links with clinical researchers and industry, and to drive forward experimental dementia research using data science and artificial intelligence.

There is no universally agreed definition of AI. The term broadly refers to computing technologies that resemble processes associated with human intelligence, such as reasoning, learning and adaptation, sensory understanding, and interaction. An important feature of contemporary AI technologies is that they are increasingly able to make sense of varied and unstructured kinds of data – so what could happen when you combine AI with large amounts of health and societal data? The potential is amazing, and could be the key to unlocking improved dementia risk analysis, diagnosis and treatments.

Machine Learning Datathon to Combat Dementia Blog

A branch of artificial intelligence which is based on training computers to learn patterns has the ability to transform our understanding of dementia. David Llewellyn co-leads the first Dementias Platform UK datathon next month. He explains why machine learning could be the beginning of the end for this devastating condition.

Dementia isn’t a single disease and people with dementia, or who are at risk of dementia, vary enormously. Some forms of dementia are caused by neurodegeneration, including Alzheimer’s disease, and others are caused by vascular problems such as stroke. Not being able to diagnose it early enough is one of the biggest problems, and it’s in this area that AI techniques like machine learning give me hope.

Machine learning is a branch of artificial intelligence which relies on our ability to train computers to learn from data and identify hidden patterns. As computers have become more powerful, so has our ability to harness them and make sense of rich and large datasets. Machine learning already enhances our smartphones and makes internet searching efficient, and we suspect that machine learning has the potential to transform clinical medicine. Machine learning is particularly well suited to dealing with clinical data relating to complex conditions such as dementia, and for that reason we are excited to explore its potential in a datathon.

My hope is that machine learning will help us diagnose the disease early enough so people can receive better support and access ongoing research studies. Why haven’t we been able to diagnose it early? Simply put, the early stages of dementia are invisible. Clinicians are often unsure who to refer for costly, time-consuming and potentially worrying investigations at memory clinics. Some people never go to their doctor and around a third of cases are never diagnosed. As a result it is very challenging to assess patients and recruit them to trials that will be right for them. We need research that gives us new insights into the complex ‘disease signatures’ that underpin dementia and have the potential to enhance clinical practice. But where do we start? Many of my colleagues and I think machine learning is a very promising approach.

Not all machine learning scientists will be familiar with the datathon format but we’re already seeing enthusiasm within the community for this way of working. A datathon is an event where scientists come together to conduct analyses, challenge themselves, learn new techniques, and have fun. It’s a fantastic opportunity to meet other interesting people and make a difference to what is a really big societal challenge. My hope is that this will be the key to improving care, and fuelling the trials which we hope will result in new disease-modifying treatments.

More details on our datathon

When and where is it?

Our machine learning for dementia datathon is running from 1-3 May 2019, at the University of Exeter, Forum

Who is organising it?

The datathon is a collaboration between Dementias Platform UK (DPUK), Alzheimer’s Research UK (ARUK), the Alan Turing Institute and the University of Exeter who have all helped to fund and organise the event. The lead organisers are Dr Sarah Bauermeister (DPUK and University of Oxford), and Professors David Llewellyn and Richard Everson (University of Exeter).

What will it involve?

We will have some brief talks to introduce the event, explain how it works and plan for the future. However, the emphasis will be on getting to know each other and getting our teeth into the data. Over three days we will work in groups to experiment and share knowledge. At the end of the datathon we will reflect on what we’ve learnt and think about how we might want to work together in the future.

Who are you looking for?

Places are limited but people will be selected on merit and enthusiasm. Under-represented groups are particularly encouraged to apply. To get the most out of the event people will need to be able to program and have experience of machine learning techniques. Experience of dementia-related data or research is not necessary as clinical support will be provided.

How do people apply?

Fill in the online form here.

Machine Learning for Dementia Datathon

Are you a data scientist interested in dementia? We’re looking for innovators with expertise in machine learning to take part in an exciting datathon on the 1st-3rd of May 2019 at the University  of Exeter.

The event will bring together scientists to develop new ways of predicting and diagnosing dementia with real-world clinical data. This will be the inaugural meeting of the Deep Dementia Phenotyping (DEMON) Network which will enhance UK capacity for data science and AI applied to dementia.

Travel bursaries will be available to support early career researchers on a competitive basis. The datathon is supported by the Alan Turing Institute, Alzheimer’s Research UK, Dementias Platform UK, and the University of Exeter.

Apply now!