DigiTwins: the future of medicine, prevention and well-being
Room L7, 04/12/2018 (17:00-17:45)
Every individual is different. We have different genomes, disease histories, environments and lifestyles. Individuals therefore react very differently to therapies as well as to disease prevention and wellbeing measures, with enormous negative consequences for individuals and societies and huge economic costs - Europe currently spends 4 billion euros per day on health care.
The only reasonable solution is a deeply ICT-, data- and model-driven true personalization of therapy choice, prevention and well-being, based on a detailed biological characterization of every individual. This is the rationale behind the development of ‘Digital Twin’ computational models, which will form the cornerstone of future health care systems (and biomedical research), predicting the biological consequences of treatment and health maintenance options.
The DigiTwins Community (www.digitwins.org), is working towards such as solution as part of a new FET-Flagship bid, aiming to develop the necessary core technologies, resources and infrastructure. To achieve this healthcare revolution, major inter-disciplinary efforts and new technological, diagnostic and therapeutic breakthroughs are required.
The key objectives of the session are:
1. Raise awareness of the key challenges and benefits of the Digital Twin approach
2. Provide a platform for innovation and cross-fertilization of ideas
3. Foster new collaborations and interactions across disciplines
- DigiTwins Summary (1,015 KB)
Organised by: Hans LEHRACH (Max Planck Institute for Molecular Genetics, Vertebrate Genomics, Germany)
- 3D printing
- Artificial Intelligence
- Big Data
- Digital skills
- Modern gadgets
- Open Data
- Public services
- Smart Cities
- Tech business
- Trust and privacy
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