Projects in the Business Area Bioinformatics

Modelling of Neurodegenerative Diseases

VirtualBrainCloud – Personalized Recommendations for Neurodegenerative Diseases

In the VirtualBrainCloud project, Fraunhofer SCAI is working with 16 European partners on a cloud-based IT platform that enables the simulation of communication paths in the brain. The individual simulation of patient brains supports physicians in finding the right diagnosis and therapy for people with neurodegenerative diseases. This is usually difficult because the course and symptoms of diseases such as Alzheimer's are often very different. With this platform, it will be possible to record the state of health of the brain with little effort. Regular routine examinations will enable physicians to detect and treat Alzheimer's disease at an early stage.
Project duration: 12/2018 - 11/2022

RADAR-AD (Remote Assessment of Disease and Relapse – Alzheimer's Disease)

In the RADAR-AD project, the project partners will develop methods with which the functional loss in the brain of Alzheimer patients can be measured at an early stage - not only in hospitals but also on an outpatient basis. So-called remote measurement tools (RMT) will enable remote assessments and thus improve patient care. The project is funded by the Innovative Medicine Initiative (IMI), a public-private partnership between the European Union and the European Federation of Pharmaceutical Industries and Associations (EFPIA).
Project duration: 01/2019 - 06/2022

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PHAGO – a new Approach to Help Patients with Alzheimer's Disease

It was only recently discovered that the innate immunoreceptor genes TREM2 and CD33/SGLEC3 play a role in Alzheimer's disease. However, the significance of the identified genes and of the cellular mechanism has not been sufficiently investigated. The PHAGO project is designed to close these knowledge gaps and develop new tools and test methods that work on these immune receptors and open the way to the development of drugs that inhibit the course of the disease. This will allow new therapies for Alzheimer's patients. The project is funded by the Innovative Medicine Initiative (IMI), a public-private partnership between the European Union and the Federation of Pharmaceutical Industries in Europe (EFPIA).
Project duration: 11/2016 - 10/2021

Rohan - Reference Ontology Hub with Application Services for Neurosciences

The aim of the Rohan project is to provide researchers with easier access to important neuroscientific information. A user-friendly platform will be developed to enable users to access all terms related to human brain diseases and related ontologies. Ontologies show how technical terms relate to each other. Among other things, the platform is intended to support biologists, clinical researchers and data scientists.
Project duration: 04/2018 - 03/2020

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EPAD

The European research initiative EPAD targets to improve the understanding of the early phases of Alzheimer's disease and to develop provisions which contribute to the prevention of Alzheimer.
Project duration: 01/2015 - 12/2019

OpenRiskNet

The objective of the EU-project OpenRiskNet is to develop an open e-infrastructure providing resources and services to a variety of communities requiring risk assessment, including chemicals, cosmetic ingredients, therapeutic agents and nanomaterials.
Project duration: 12/2016 - 11/2019
openrisknet.org

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HBP - The Human Brain Project

In the "Human Brain Project" (HBP), which is funded by the European Commission, leading research institutions work together to better understand the human brain. For that purpose the project partners will develop new simulation methods, for example on high performance computers. The project aims to develop new therapeutic approaches for the treatment of brain diseases and new methods of High Performance Computing.
Project duration: 10/2013 - 03/2020

Leveraging the Digital Single Market

StandICT.eu – Supporting European Experts Presence in International Standardisation Activities in ICT

StandICT.eu defines a pragmatic approach to reinforcing EU expert presence in international ICT standardisation. By setting up, managing & monitoring a continuous open call, StandICT.eu will provide a streamlined process supporting the participation & contribution of EU specialists in SDOs & SSOs in the 5 essential building blocks of the Digital Single Market (DSM), viz.: cloud computing, 5G communications, IoT, cybersecurity & data technologies.
Project duration: 01/2018 - 12/2019  

Genome Function Topology

The Genome Function Topology project aims to discover novel principles of the spatial and functional organization of the human genome, by taking into account the global three-dimensional organization of the genome and large-scale knowledge graphs.
Project duration: 11/2018 - 10/2021

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Biomedical Knowledge Graphs

Biomedical knowledge graphs play a central role in big data integration. Bringing unstructured text into a structured, comparable format is one of the key assets. As cause and effect models, knowledge graphs can potentially facilitate clinical decision making or help to drive research towards precision medicine. Data and Knowledge Management, sometimes also called Information Management, is a core topic of Data Science. It is also a interdisciplinary field touching economics (how efficient and expensive is the solution?), psychology (do people use this solution in a way that was intended?) and of course computer science. Our aim is to build sustainable data infrastructure for biomedical data, personalized medicine, drug repurposing, reproducible AI and knowledge discovery.

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Integrative Machine Transfer Learning for Psychiatric Diseases

The project "COMorbidity Modeling via Integrative Transfer machine-learning in MENTal illness" (COMMITMENT) will establish an interdisciplinary research framework for the identification of systems-molecular hallmarks of psychotic and comorbid somatic diseases. The identification of shared and distinct biological profiles and their underlying pathophysiological processes will allow disentangling patient heterogeneity and provide the basis for objective tools for personalized clinical management of psychotic disorders.

The overall aim of COMMITMENT is to develop a computational systems medicine framework that allows clinically meaningful stratification of psychotic disorders and the identification of biological processes shared with somatic and neurodegenerative comorbidities.

Fraunhofer SCAI is leading the subproject „TP3 – Systems medicine knowledge and mechanisms“. In this subproject, the knowledge available in the scientific literature in the field of psychotic diseases and their co-morbidities (diabetes; neurodegenerative diseases) will be systematically collected and presented in a form that can be used for machine learning procedures in further work packages of the project.
Project duration: 09/2019 - 08/2022

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