Project description
Studying how AI can lead to better healthcare
Artificial intelligence (AI) applications are transforming how care is delivered. From wearables and medical devices to data-related platforms and services, AI can simplify the lives of doctors and patients. The EU-funded PhilHumans project will investigate novel AI methods for human-machine interaction in the personal health domain through a well-designed and well-structured research training programme. Specifically, this international, inter-sectoral, interdisciplinary project will provide Marie Skłodowska-Curie PhD Fellowships to eight Early Stage Researchers (ESRs), with the potential to become the leaders of tomorrow's innovative AI and establish user interaction with their personal health devices in an advanced way. The project will require interdisciplinary understanding – from cognitive computing to (deep) machine learning and business development.
Objective
The goal of the PhilHumans (Personal Health Interfaces Leveraging Human-MAchine Natural interactionS) project is to train a next generation of young researchers in innovative Artificial Intelligence (AI) and establish user interaction with their personal health devices in an advanced and intuitive way. PhilHumans will investigate cutting-edge AI methods for human-machine interaction in the personal health domain through a well-designed and structured research training programme, with the aim to enhance EU firms competitiveness in the field for an effective and lasting market penetration in EU.
The research in PhilHumans will be performed by an intersectoral and multidisciplinary consortium consisting of 8 ESRs and a team of supervisors from the academic beneficiaries (University of Cagliari, University of Catania, University of Aberdeen, and Technical University of Eindhoven (TU/e)), the industrial beneficiaries (PHILIPS and R2M), and other external partners. The project will require the creation of a blend of interdisciplinary understanding of personal digital assistant, cognitive computing, (deep) machine learning, natural language generation & processing, advanced computer vision, and business development. The personal health areas that will be investigated are Mother&Child care, healthy-living and personal care, where the application of the proposed technology has promising potential.
All ESRs will enroll in a 3-years PhD research programme at beneficiary academic institutions. They are supposed to act as an integrated and complementary expertize team, whose aim is to tackle the fundamental challenge of combining heterogeneous data sources from multilingual speech/text processing and computer vision for improving conversation, detecting emotions, and improving social interactions. All the academic ESRs for at least 50% of their time will attend their secondment at PHILIPS, which will provide the required infrastructure and supervision by senior research staff.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence computer vision
- natural sciences computer and information sciences artificial intelligence machine learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-ITN-2018
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
5656 AG Eindhoven
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.