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ONCOVALUE | Implementing value-based oncology care at European cancer hospitals: An AI-based framework for assessing real-life effectiveness of novel cancer therapies in real-time

01-12-2022

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30-11-2026

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Title Implementing value-based oncology care at European cancer hospitals: An AI-based framework for assessing real-life effectiveness of novel cancer therapies in real-time
Description products and digital health innovations.
Organisation SIEMENS HEALTHINEERS AG
 Periodic Reporting for period 1 - ONCOVALUE (Implementing value-based oncology care at European cancer hospitals: An AI-based framework for assessing real-life effectiveness of novel cancer therapies in real-time) Result title Periodic Reporting for period 1 - ONCOVALUE (Implementing value-based oncology care at European cancer hospitals: An AI-based framework for assessing real-life effectiveness of novel cancer therapies in

AISym4MED | Synthetic and scalable data platform for medical empowered AI

01-12-2022

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30-11-2026

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Title Synthetic and scalable data platform for medical empowered AI
Description health services, while maintaining a high level of data privacy and ethical usage.
 Periodic Reporting for period 1 - AISym4MED (Synthetic and scalable data platform for medical empowered AI) Result title Periodic Reporting for period 1 - AISym4MED (Synthetic and scalable data platform for medical empowered AI) Result description AISym4Med aims to develop a platform that will provide healthcare data engineers, data scientists, practitioners and researchers access to a trustworthy dataset system, augmented with controlled data synthesis

AISN | Integrating AI in Stroke Neurorehabilitation

01-12-2022

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30-11-2026

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Title Integrating AI in Stroke Neurorehabilitation
Description The AISN project will develop and validate operating procedures and guidelines for integrating AI in a healthcare continuum, focussing on post-stroke rehabilitation.
 Periodic Reporting for period 1 - AISN (Integrating AI in Stroke Neurorehabilitation) Result title Periodic Reporting for period 1 - AISN (Integrating AI in Stroke Neurorehabilitation) Result description The AISN project aims to revolutionize post-stroke rehabilitation by integrating AI into healthcare, addressing a critical global health issue.

NBSoil | Nature Based Solutions for Soil Management

01-12-2022

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30-11-2026

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Description The NBSOIL consortium will deliver Impact and contribute decisively to achieve the Soil Health Mission by mainstreaming NBS knowledge and advice for soil management, providing Soil Health Living Labs facilitators
 Data Management Plan and use of AI 2 Result title Data Management Plan and use of AI 2 Result description It will also contain guidelines will also ensure that AI aspects of NBSOIL follow a trustworthy and human centric approach
 Data Management Plan and use of AI 1 Result description It will also contain guidelines will also ensure that AI aspects of NBSOIL follow a trustworthy and human centric approach

SYNTHEMA | Synthetic generation of hematological data over federated computing frameworks

01-12-2022

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30-11-2026

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Description SYNTHEMA aims to establish a cross-border data hub where to develop and validate innovative AI-based techniques for clinical data anonymisation and synthetic data generation (SDG), to tackle the scarcity
Organisation GLSMED LEARNING HEALTH SA
 Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis 30 January 2024 Result title Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis 30 January 2024

MAR2PROTECT | PREVENTING GROUNDWATER CONTAMINATION RELATED TO GLOBAL AND CLIMATE CHANPREVENTING GROUNDWATER CONTAMINATION RELATED TO GLOBAL AND CLIMATE CHANGE THROUGH A HOLISTIC APPROACH ON MANAGED AQUIFER RECHARGE

01-12-2022

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30-11-2026

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Description The core of the innovative MAR is the M-AI-R DSS that will incorporate technological and societal engagement information using an AI-based evaluation to improve GW quality.
 Report of M-AI-R DSS data architecture and data space technical specifications Result title Report of M-AI-R DSS data architecture and data space technical specifications
 Periodic Reporting for period 1 - MAR2PROTECT (PREVENTING GROUNDWATER CONTAMINATION RELATED TO GLOBAL AND CLIMATE CHANPREVENTING GROUNDWATER CONTAMINATION RELATED TO GLOBAL AND CLIMATE CHANGE THROUGH A HOLISTIC APPROACH ON MANAGED AQUIFER RECHARGE) Result description Climate and global change (CC and GC) risk human health, food security and biodiversity. To protect these essential areas, urgent action is needed to meet the 2030 zero pollution goals.

ONCODIR | ONCODIR – Evidence-based Participatory Decision Making for Cancer Prevention through implementation research

01-06-2023

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30-11-2026

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Description Stemming from the specific risk factors identified with CRC, ONCODIR integrates multidisciplinary research methods from health policy analytics; social and behavioural science; AI-powered multi-omics and
Organisation MINISTRY OF HEALTH
 Semantic Modelling for Representation and Integration of Health Data from Wearable Devices Result title Semantic Modelling for Representation and Integration of Health Data from Wearable Devices
 Periodic Reporting for period 1 - ONCODIR (ONCODIR – Evidence-based Participatory Decision Making for Cancer Prevention through implementation research) Result description By leveraging expertise from health policy analytics, social and behavioral sciences, AI-driven multi-omics, and retrospective...

RES-Q PLUS | Comprehensive solutions of healthcare improvement based on the global Registry of Stroke Care Quality

01-11-2022

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31-10-2026

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Description Further augmentations include the creation of two novel AI voice assistants, one to help patients provide feedback on their health and the other to help physicians provide high quality care.
Organisation SIRMA AI EAD
 Identifying Challenges and Opportunities for Intelligent Data-Driven Health Interfaces to Support Ongoing Care Result title Identifying Challenges and Opportunities for Intelligent Data-Driven Health Interfaces to Support Ongoing Care

HappyMums | Understanding, predicting, and treating depression in pregnancy to improve mothers and offspring mental health outcomes

01-11-2022

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31-10-2026

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Description HappyMums will also develop a digital platform where AI tools-based data can be collected, together with biological, clinical, medical, environmental and lifestyle data, through a mobile phone App that
 Periodic Reporting for period 1 - HappyMums (Understanding, predicting, and treating depression in pregnancy to improvemothers and offspring mental health outcomes) Result title Periodic Reporting for period 1 - HappyMums (Understanding, predicting, and treating depression in pregnancy to improvemothers and offspring mental health outcomes) Result description Perinatal mental disorders contribute enormously to societal and health burdens.

CHOICE | Mainstreaming Integrated Assessment Models by embedding behavioural change and actor heterogeneity, and increasing their outreach to citizens, communities and industrial actors

01-11-2023

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31-10-2026

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Description The IAM-generated impacts from highly influential 1.5oC-compatible mitigation actions shall highlight, besides emissions, the co-benefits of their changes in behaviour or practice in terms of health, biodiversity
Organisation LIBRA AI TECHNOLOGIES PRIVATE IDIOTIKI KEFALAIOUCHIKI ETAIREIA

BERTHA | BEhavioural ReplicaTion of Human drivers for CCAM

01-11-2023

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31-10-2026

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 Exploring the Nexus Between Physical and Mental Health: Assessing Stress Through Heart Rate Variability Result title Exploring the Nexus Between Physical and Mental Health: Assessing Stress Through Heart Rate Variability Result description Martínez - Iranzo, Gema Prats Boluda, Miguel Ángel Serrano Rosa, José Luis Martínez De Juan, Cristina Herrera LigeroJournal title: AHFE International, Human Interaction and Emerging Technologies (IHIET-AI

SCREEN4CARE | Shortening the path to rare disease diagnosis by using newborn genetic screening and digital technologies

01-10-2021

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30-09-2026

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Description The Screen4Care (S4C) consortium will leverage the genomic and digital advent to develop and pilot genetic NBS and AI-guided symptom recognition algorithms, while accounting for all relevant legal, regulatory
 We're implementing AI now, so why not ask us what to do?–How AI providers perceive and navigate the spread of diagnostic AI in complex healthcare systems Result title We're implementing AI now, so why not ask us what to do?–How AI providers perceive and navigate the spread of diagnostic AI in complex healthcare systems
 Challenges in mapping European rare disease databases, relevant for ML-based screening technologies in terms of organizational, FAIR and legal principles: scoping review Result description publisher: Frontiers in Public HealthPublished year: 2023Published pages: 11DOI identifier: 10.3389/fpubh.2023.1214766ISSN: 2296-2565

OPTIMA | Optimal treatment for patients with solid tumours in Europe through Artificial intelligence

01-10-2021

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30-09-2026

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Description At the start of the project, we will already have access to datasets covering over 200M people in Europe, along with data from high quality patient cohorts for AI model building.
 Markov modeling for cost-effectiveness using federated health data network Result title Markov modeling for cost-effectiveness using federated health data network

HARIA | HUMAN-ROBOT SENSORIMOTOR AUGMENTATION - WEARABLE SENSORIMOTOR INTERFACES AND SUPERNUMERARY ROBOTIC LIMBS FOR HUMANS WITH UPPER-LIMB DISABILITIES

01-10-2022

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30-09-2026

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Description This project will also go beyond the application to health, starting a new era of intuitive and seamless human-robot augmentation by wearable sensorimotor interfaces and supernumerary limbs.
Organisation OTTO BOCK HEALTHCARE GMBH
 Periodic Reporting for period 1 - HARIA (HUMAN-ROBOT SENSORIMOTOR AUGMENTATION - WEARABLE SENSORIMOTOR INTERFACES AND SUPERNUMERARY ROBOTIC LIMBS FOR HUMANS WITH UPPER-LIMB DISABILITIES) Result description The idea is to study how to integrate humans and AI-powered supernumerary robotic limbs to perform complex manipulation tasks...

DataTools4Heart | A European Health Data Toolbox for Enhancing Cardiology Data Interoperability, Reusability and Privacy

01-10-2022

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30-09-2026

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Description remaining as available for further research and AI experimentation.
 The CODE-EHR global framework: lifting the veil on health record data Result title The CODE-EHR global framework: lifting the veil on health record data
 Periodic Reporting for period 1 - DataTools4Heart (A European Health Data Toolbox for Enhancing Cardiology Data Interoperability, Reusability and Privacy) Result description Healthcare data re-use in Europe faces ethical and legal issues, a high diversity in data formats and languages, and a lack of technical and clinical interoperability.

SoftEnable | Towards Soft Fixture-Based Manipulation Primitives Enabling Safe Robotic Manipulation in Hazardous Healthcare and Food Handling Applications

01-10-2022

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30-09-2026

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Description Besides the fresh food handling use case, SoftEnable will focus on the healthcare sector where the project will demonstrate how soft fixtures can be utilized by a robotic system assisting health care workers
 Periodic Reporting for period 1 - SoftEnable (Towards Soft Fixture-Based Manipulation Primitives Enabling Safe Robotic Manipulation in Hazardous Healthcare and Food Handling Applications) Result title Periodic Reporting for period 1 - SoftEnable (Towards Soft Fixture-Based Manipulation Primitives Enabling Safe Robotic Manipulation in Hazardous Healthcare and Food Handling Applications)

HOLiFOOD | Holistic approach for tackling food systems risks in a changing global environment

01-10-2022

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30-09-2026

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Description Artificial Intelligence (AI) and big data technologies will be used in the development of early warning and emerging risks prediction systems for known and unknown food safety hazards.
 Approach to include riskbenefit assessment in regulatory decision making Result description Task 3.2 The bottlenecks in having health risk-benefit approaches adopted by regulatoryauthorities will be identified and discussed.

PHASE IV AI | Privacy compliant health data as a service for AI development

01-10-2023

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30-09-2026

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Title Privacy compliant health data as a service for AI development
Description Artificial intelligence (AI) enables data-driven innovations in health care.
 Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? Result comments PHASE IV AI Result acronym PHASE IV AI-1246030
 Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection Result comments PHASE IV AI
 Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data Result comments PHASE IV AI

MusAI | Music and Artificial Intelligence: Building Critical Interdisciplinary Studies

01-10-2021

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30-09-2026

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Description new forms of interdisciplinarity for music AI and for the digital humanities, feeding the results into innovative interdisciplinary AI pedagogies.
 You Sound Depressed: A Case Study of Sonde Health’s Diagnostic Use of Voice Analysis AI Result title You Sound Depressed: A Case Study of Sonde Health’s Diagnostic Use of Voice Analysis AI
 A small-data mindset for generative AI creative work Result description FiebrinkJournal title: In CHI’22 Workshop on Generative AI and HCI.Journal number: CHI'22/10 May 2022Journal publisher: GenAICHI 2022Published year: 2022

ADIX | Argumentation-based Deep Interactive EXplanations(ADIX)

01-10-2021

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30-09-2026

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Description Today’s AI landscape is permeated by plentiful data and dominated by powerful methods with the potential to impact a wide range of human sectors, including healthcare and the practice of law.
 Contestable AI Needs Computational Argumentation. Result title Contestable AI Needs Computational Argumentation.
 Periodic Reporting for period 2 - ADIX (Argumentation-based Deep Interactive EXplanations(ADIX)) Result description Today’s AI landscape is permeated by data and data-centric methods (e.g. deep learning) but suffers from widespread problems: albeit powerful, data-centric AI methods are often opaque and their outputs

BEAMER | BEhavioral and Adherence Model for improving quality, health outcomes and cost-Effectiveness of healthcaRe

01-09-2021

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31-08-2026

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Description The main objective of the Project is to create BEAMER, a disease-agnostic behavioral and adherence model for improving quality, health outcomes and cost-effectiveness of healthcare, through improving the
 Multi-stakeholder Approach for Designing an AI Model to Predict Treatment Adherence Result title Multi-stakeholder Approach for Designing an AI Model to Predict Treatment Adherence
 Periodic Reporting for period 2 - BEAMER (BEhavioral and Adherence Model for improving quality, health outcomes and cost-Effectiveness of healthcaRe) Result description Adherence to treatment is crucial not only for optimizing patient benefits but also as a determinant for multiple health outcomes.
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