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Personal Health Interfaces Leveraging Human-Machine Natural Interactions

Description du projet

Étudier comment l’IA peut permettre d’améliorer les soins de santé

Les applications de l’intelligence artificielle (IA) transforment la manière dont les soins sont dispensés. Qu’il s’agisse de dispositifs portables et d’appareils médicaux ou de plateformes et de services liés aux données, l’IA peut simplifier la vie des médecins et des patients. Le projet PhilHumans, financé par l’UE, étudiera de nouvelles méthodes d’IA pour l’interaction homme-machine dans le domaine de la santé personnelle grâce à un programme de formation à la recherche bien conçu et bien structuré. Plus précisément, ce projet international, intersectoriel et interdisciplinaire offrira des bourses de doctorat Marie Skłodowska-Curie à huit chercheurs en début de carrière (ESR), avec la possibilité de devenir les chefs de file de l’IA innovante de demain et d’établir une interaction utilisateur avec leurs appareils de santé personnels de manière avancée. Le projet nécessitera une compréhension interdisciplinaire — de l’informatique cognitive à l’apprentissage automatique (profond) et au développement commercial.

Objectif

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.

Coordinateur

PHILIPS ELECTRONICS NEDERLAND BV
Contribution nette de l'UE
€ 531 239,76
Adresse
HIGH TECH CAMPUS 52
5656 AG Eindhoven
Pays-Bas

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Région
Zuid-Nederland Noord-Brabant Zuidoost-Noord-Brabant
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Liens
Coût total
€ 531 239,76

Participants (5)

Partenaires (10)