The Human Brain Project Calls for Projects to Contribute to its Research Infrastructure
The Human Brain Project (HBP) has launched four calls for expression of interest for projects that wish to participate in the development of its research infrastructure. Proposals can be submitted until 2 December. The selected projects will contribute to the development of the EBRAINS research infrastructure and increase the scope of its application in terms of innovation, neuroscience and clinical research.
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Open Call SC1-HCC-10-2020: Towards a Health Research and Innovation Cloud: Capitalising on Data Sharing Initiatives in Health Research
Technological innovation has triggered an unprecedented increase in data production in health research and healthcare. The need to make EU health research data FAIR (i.e., Findable, Accessible, Interoperable and Re-usable) becomes more pressing than ever before if European health research is to reap the full benefits of this valuable resource.
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Open Call SC1-BHC-06-2020: Digital Diagnostics - Developing Tools for Supporting Clinical Decisions by Integrating Various Diagnostic Data
The availability of appropriate decision support tools for healthcare practitioners can promote uptake of personalised medicine in health care. There is a need to carry out research activities aiming to develop and validate such decision tools that would integrate available and/or emerging diagnostic means for the area concerned, enabling increased precision of diagnostics and clinical decision making.
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Advanced Therapies Feature in New IMI Call for Proposals
Advanced therapies are a major part of new Innovative Medicines Initiative (IMI) Calls for proposals. The two advanced therapies topics aim to accelerate research into advanced therapies for rare diseases, and support the development of engineered T cells to fight cancer. Other topics in the Calls address artificial intelligence; the need for reliable, relevant health information; and ways of incorporating patients' views and experiences into healthcare and cancer clinical trials.
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Using AI in NHS Diagnosis: Apply for Funding
X-rays of arms and legs are among the most frequent diagnosis processes used by NHS Scotland, with around 5,000 procedures annually. Although injuries in these areas are often categorised as minor, misdiagnosis and mismanagement can hamper recovery and lead to financial cost. However, the use of artificial intelligence (AI) and machine learning could help create systems that prevent misdiagnosis.
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Open Call SC1-BHC-13-2019: Mining Big Data for Early Detection of Infectious Disease Threats Driven by Climate Change and other Factors
A range of factors is responsible for the (re-)emergence of infectious disease threats, including antimicrobial resistance, altering the epidemiology and spread of disease in a changing global environment. These include drivers such as climate change and associated environmental impacts, population growth, unplanned urbanisation and high mobility, as well as animal husbandry or intensive farming practices.
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Open Call SC1-HCC-02-2019: Support for the Large Scale Uptake of Open Service Platforms in the Active and Healthy Ageing Domain
In the past years several open service platforms for Active and Healthy Ageing domains have been developed, originating from the medical, independent living, and IoT domain. These platforms aim at building a common basis for application development, assuring interoperability at the application and service level, and reducing development cost by re-use of components.
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Technological innovation has triggered an unprecedented increase in data production in health research and healthcare. The need to make EU health research data FAIR (i.e., Findable, Accessible, Interoperable and Re-usable) becomes more pressing than ever before if European health research is to reap the full benefits of this valuable resource. 
Advanced therapies are a major part of new Innovative Medicines Initiative (IMI) Calls for proposals. The two advanced therapies topics aim to accelerate research into advanced therapies for rare diseases, and support the development of engineered T cells to fight cancer. Other topics in the Calls address artificial intelligence; the need for reliable, relevant health information; and ways of incorporating patients' views and experiences into healthcare and cancer clinical trials. 
X-rays of arms and legs are among the most frequent diagnosis processes used by NHS Scotland, with around 5,000 procedures annually. Although injuries in these areas are often categorised as minor, misdiagnosis and mismanagement can hamper recovery and lead to financial cost. However, the use of artificial intelligence (AI) and machine learning could help create systems that prevent misdiagnosis.