Project AMIGO: Using graphs to help diagnose children with rare diseases
A Talk by Timm Amstein and Maaike Kusters
About this Talk
Utilizing AI for diagnosing patients rare-diseases is a huge challenge due to the lack of training data. This problem gets even more critical when the patients are children. Starting in Munich a collection of organizations with different backgrounds have decided to tackle the problem. By merging openly available research knowledge with the invaluable multiomics data of the patients in a graph, we are trying to build the basis for finding the needle in the hackstack through context knowledge.
To achieve this goals it is imperative to stay open for new ideas, facilitate collaboration, but at the same time keep the original data completely secret. The talk will provide a look at the challenge from the angle of data scientists, graph specialists, data architects, health care professionals and clinics. During the talk the interested audience will hear about our setup, our pipeline and the first advances on the road to find a way to help children with AI on graph.
About The Speakers
Senior Solution Architect and Graph Expert, Capgemini
Timm has the strong desire to link people, solutions and data together. He is working as a Senior Solution Architect and Graph Expert for Capgemini Insights & Data Germany on projects in the automotive, life science sector and retail sector.
Consultant in Paediatric Immunology, Great Ormond Street Hospital
With a passion for advancing the field of pediatric immunology, Dr. Kusters specializes in diagnosing and treating children with Inborn Errors of Immunity (IEI). Her expertise encompasses cutting-edge treatments, including bone marrow transplantation, thymus transplantation, and gene therapy.
We’re a cloud tech company that provides organisations around the world with computing infrastructure and software to help them innovate, unlock efficiencies and become more effective. We also created the world’s first – and only – autonomous database to help organise and secure our customers’ data.
