COMBATTING DIET RELATED NON-COMMUNICABLE DISEASE THROUGH ENHANCED SURVEILLANCE

Projektinformationen

CoDiet

ID Finanzhilfevereinbarung: 101084642

DOI

10.3030/101084642

EK-Unterschriftsdatum 17 Oktober 2022

Startdatum 1 Januar 2023

Enddatum 31 Dezember 2026

Finanziert unter

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Gesamtkosten

€ 7 330 589,25

EU-Beitrag

€ 7 330 589,25

Koordiniert durch

FUNDACION AZTI - AZTI FUNDAZIOA
Spain

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Documents, reports (7)

Extending PGMs towards time-series

We will describe the methodological aspects of working with time series in probabilistic graphical models and computing the conditional expectations therein. This will be accompanied by open-source code at github.com.

Communication and Dissemination plan

Details strategy to implement and evaluate activities to maximise project impact. Considered a living document to be updated regularly over the course of the project lifetime

Communication and dissemination plan update RP1

Updated Communication and Dissemination Plan (updates will consider re-evaluation of KPIs, target audiences, and implementation and evaluation of activities etc).

Legal and ethical aspects of personalised nutrition

We will present both an overview of the legal and ethical aspects of personalized nutrition and develop a set of suggestions for implementing it going forwards.

Kick-off meeting report

Detailed summary of project set-up at inaugural consortium assembly

Practice abstract batch 1

This deliverable contains five practical abstracts related to two areas of the WP1 and WP2: 1. One presenting the results of the AI systematic reviews carried out on the relationship between diet and non-communicable disease 2. Three presenting the dietary intake assessment ( i camera, ii sensors and iii multi omics) and including the initial thoughts on a population based dietary assessment package3. One presenting the review of public health policy and personal nutrition

Report on update to Food-EPI assessments describing policy scenarios

Based on the countries’ Food-EPI assessments, a report will be produced summarising a range of policy scenarios combining the strengths of approaches adopted in the countries observed in several key policy areas, for evaluation in task 6.3.

Data Management Plan (2)

Data management plan update RP1

Updated data management plan encompassing both data collected in WP2 and data collected previously, as explained in WP1.

Data management plan

We will present a data management plan encompassing both data collected in WP2 and data collected previously, as explained in WP1.

Websites, patent fillings, videos etc. (1)

Project website

Launched online. Freely accessible platform for all audiences to access publicly available CoDiet resources and data.

Data sets, microdata, etc (2)

Stratified list of precision medicine initiatives, ranked according to their potential synergy with CoDiet

A structured document detailing the cohort characteristics, meta data and data availability of precision medicine initiatives relevant to CoDiet. These data will be used, subject to availability, for initial development of methods and models in WP3 and WP4.

Release of an automatically annotated and manually verified corpus of 1,000 Open Access articles

A dataset consisting of annotated BioC JSON documents of Open Access publications with dietary variables, phenotypes, genes, transcripts, proteins, metabolites, microbes and pathways annotated, and relations between these mapped.

Demonstrators, pilots, prototypes (1)

A prototype in causal discovery

We will develop a first prototype of the causal discovery with irregularly sampled time series and latent confounders. This will be open-source software at gihub.com.

Veröffentlichungen

Conference proceedings (19)

Energy Efficient Scheduling for Serverless Systems

Autoren: Michail Tsenos, Aristotelis Peri, Vana Kalogeraki
Veröffentlicht in: Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2023, ISSN 2473-2001
Herausgeber: IEEE
DOI: 10.1109/ACSOS58161.2023.00020

Orchestrating the Execution of Serverless Functions in Hybrid Clouds

Autoren: Aristotelis Peri, Michail Tsenos, Vana Kalogeraki
Veröffentlicht in: Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2023, ISSN 2473-2001
Herausgeber: IEEE
DOI: 10.1109/ACSOS58161.2023.00032

Exploring GPU-Based Workload Scheduling Techniques for Edge Computing

Autoren: Michail Tsenos, Vana Kalogeraki
Veröffentlicht in: 2025 IEEE International Conference on Cloud Engineering (IC2E), 2025
Herausgeber: IEEE
DOI: 10.1109/IC2E65552.2025.00042

Efficient Dataset Distillation via Minimax Diffusion

Autoren: Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen
Veröffentlicht in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Herausgeber: Arxiv

Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems

Autoren: Haozhe Tian, Homayoun Hamedmoghadam, Robert Shorten, Pietro Ferraro
Veröffentlicht in: Neurips 2024
Herausgeber: N/A

IgNITE: Scheduling Pipeline-Parallel DNN Training Jobs on Heterogeneous Infrastructures

Autoren: Phivos Dadamis, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos
Veröffentlicht in: Proceedings of the 19th ACM International Conference on Distributed and Event-based Systems, 2025
Herausgeber: ACM
DOI: 10.1145/3701717.3734461

Advancing phenotype named entity recognition and normalization for dysmorphology physical examination reports

Autoren: Kim, Kim, Sohn, Beck, Rei, Kim, Simpson, Posma, Lain, Sung, Kang
Veröffentlicht in: Proceedings of the BioCreative VIII Challenge and Workshop: Curation and Evaluation in the era of Generative Models, 2023
Herausgeber: Zenodo

From Medical Literature to Predictive Features: An Evidence-based Knowledge Graph Approach

Autoren: Donghee Choi, Antoine D Lain, Joram M. Posma, Mark Kozdoba, Binyamin Perets, Shie Mannor
Veröffentlicht in: ICLR 2025 Workshop LMRL Submission, 2025
Herausgeber: OpenReview

Learning Hidden Markov Models When the Locations of Missing Observations are Unknown

Autoren: Mark Kozdoba, Binyamin Perets, Shie Mannor
Veröffentlicht in: International Conference on Machine Learning, PMLR, 2023., 2023
Herausgeber: Arxiv

Sobolev Space Regularised Pre Density Models

Autoren: Mark Kozdoba, Binyamin Perets, Shie Mannor
Veröffentlicht in: International Conference on Machine Learning, PMLR, 2024., 2024
Herausgeber: PMLR

Prediction-driven resource provisioning for serverless container runtimes

Autoren: Dimitrios Tomaras, Michail Tsenos, Vana Kalogeraki
Veröffentlicht in: Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2023, ISSN 2473-2001
Herausgeber: IEEE
DOI: 10.1109/ACSOS58161.2023.00033

"""Unnormalized Density Estimation with Root Sobolev Norm Regularization"""

Autoren: Mark Kozdoba, Binyamin Perets, Shie Mannor
Veröffentlicht in: NeurIPS 2023 Second Table Representation Learning Workshop. 2023., 2023
Herausgeber: OpenReview

"""TIMBER: On supporting data pipelines in Mobile Cloud Environments """

Autoren: Dimitrios Tomaras, Michail Tsenos, Vana Kalogeraki, Dimitrios Gunopulos
Veröffentlicht in: Proceedings of the 25th IEEE International Conference on Mobile Data Management (MDM), 2024, ISSN 2375-0324
Herausgeber: IEEE
DOI: 10.1109/MDM61037.2024.00032

Unnormalized Density Estimation with Root Sobolev Norm Regularization

Autoren: Mark Kozdoba, Binyamin Perets, Shie Mannor
Veröffentlicht in: OPT 2023: Optimization for Machine Learning. 2023, NeuRIPS Workshop, 2023
Herausgeber: OpenReview

Trustworthy Scheduling for Big Data Applications

Autoren: Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos
Veröffentlicht in: Proceedings of the 13th IEEE International Conference on Big Data (IEEE BigData 2025), 2025
Herausgeber: IEEE

Comparative Analyses of Multilingual Drug Entity Recognition Systems for Clinical Case Reports In Cardiology

Autoren: Lee, Simpson, Posma, Lain
Veröffentlicht in: Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024, ISSN 1613-0073
Herausgeber: CEUR-WS

STRATA: Random Forests going Serverless

Autoren: Dimitrios Tomaras, Sebastian Buschjäger, Vana Kalogeraki, Katharina Morik, Dimitrios Gunopulos
Veröffentlicht in: Proceedings of the 25th International Middleware Conference, 2024
Herausgeber: ACM
DOI: 10.1145/3652892.3654791

Dynamic Storage Selection for Mitigating Tail Latency in Serverless Pipelines

Autoren: Michail Tsenos, Aristotelis Peri, Vana Kalogeraki
Veröffentlicht in: 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2024
Herausgeber: IEEE
DOI: 10.1109/ACSOS61780.2024.00029

Vertical Scaling Can Save Time: Optimizing Container Scheduling to Handle Sudden Bursts

Autoren: Aristotelis Peri, Michail Tsenos, Vana Kalogeraki
Veröffentlicht in: Proceedings of the 19th ACM International Conference on Distributed and Event-based Systems, 2025
Herausgeber: ACM
DOI: 10.1145/3701717.3730549

Peer reviewed articles (7)

Dried blood spot technique for dietary fat assessment in a human nutritional intervention focused on oily fish intake

Autoren: Laura Garcia-Urtiaga, Ainara Cano, Mercedes Caro, Jaione Pagaldai, Javier Amezaga, Itziar Tueros, Sara Arranz
Veröffentlicht in: Nutrition & Metabolism, Ausgabe 22, 2025, ISSN 1743-7075
Herausgeber: Springer Science and Business Media LLC
DOI: 10.1186/S12986-025-00983-4

OBEClust: joining forces to prevent obesity

Autoren: Manuel Tena-Sempere, Dimitrios-Dionyssios Koutsouris, George Dedoussis, Jeroen Lakerveld, Karl-Heinz Wagner, Itziar Tueros, Philippe Froguel, Torsten Bohn, Paulo J. Oliveira
Veröffentlicht in: Nature Reviews Endocrinology, Ausgabe 22, 2026, ISSN 1759-5029
Herausgeber: Springer Science and Business Media LLC
DOI: 10.1038/S41574-025-01212-X

TransformDDI: The Transformer-Based Joint Multi-Task Model for End-to-End Drug-Drug Interaction Extraction

Autoren: Dimitrios Zaikis, Ioannis Vlahavas
Veröffentlicht in: IEEE Journal of Biomedical and Health Informatics, Ausgabe 29, 2025, ISSN 2168-2194
Herausgeber: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JBHI.2024.3507738

Vocabulary Matters: An Annotation Pipeline and Four Deep Learning Algorithms for Enzyme Named Entity Recognition

Autoren: Wang, Vijayaraghavan, Beck, Posma
Veröffentlicht in: Journal of Proteome Research, 2024, ISSN 1535-3907
Herausgeber: ACS
DOI: 10.1101/2023.06.23.546229

Topological embedding and directional feature importance in ensemble classifiers for multi-class classification

Autoren: Eloisa Rocha Liedl, Shabeer Mohamed Yassin, Melpomeni Kasapi, Joram M. Posma
Veröffentlicht in: Computational and Structural Biotechnology Journal, Ausgabe 23, 2026, ISSN 2001-0370
Herausgeber: American Association for the Advancement of Science (AAAS)
DOI: 10.1101/2024.08.01.605982V1

Gut microbiome signatures of vegan, vegetarian and omnivore diets and associated health outcomes across 21,561 individuals

Autoren: Gloria Fackelmann, Paolo Manghi, Niccolò Carlino, Vitor Heidrich, Gianmarco Piccinno, Liviana Ricci, Elisa Piperni, Alberto Arrè, Elco Bakker, Alice C. Creedon, Lucy Francis, Joan Capdevila Pujol, Richard Davies, Jonathan Wolf, Kate M. Bermingham, Sarah E. Berry, Tim D. Spector, Francesco Asnicar, Nicola Segata
Veröffentlicht in: Nature Microbiology, Ausgabe 10, 2025, ISSN 2058-5276
Herausgeber: Springer Science and Business Media LLC
DOI: 10.1038/S41564-024-01870-Z

Learning of Linear Dynamical Systems as a Noncommutative Polynomial Optimization Problem

Autoren: Zhou and Mareček
Veröffentlicht in: IEEE Transactions on Automatic Control, 2024, ISSN 1558-2523
Herausgeber: IEEE
DOI: 10.48550/arXiv.2002.01444

Other (2)

Microbial Named Entity Recognition and Normalisation for AI-assisted Literature Review and Meta-Analysis

Autoren: Dhylan Patel, Antoine D. Lain, Avish Vijayaraghavan, Nazanin Faghih Mirzaei, Monica N. Mweetwa, Meiqi Wang, Tim Beck, Joram M. Posma
Veröffentlicht in: 2025
Herausgeber: openRxiv
DOI: 10.1101/2025.08.29.671515

High-precision Biomedical Text Corpora for Multi-Entity Recognition: A CoDiet study

Autoren: Antoine D. Lain, Stephanie Go, Alisha Mahmud, Shruti Rajendra, Ainara Cano San José, Katerina Loupasaki, Georgios Theodoridis, Maider Bizkarguenaga Uribiarte, Yajie Gu, Olga Deda, Ricardo Diogo Alves Conde, Nieves Embade, Ángela de Diego Rodríguez, Nerea Burguera, Danai Rossiou, Rubén Gil Redondo, Domniki Gallou, Itziar Tueros, Rakesh Velmurugan, Vasiliki Gkanali, Mercedes Caro Burgos, Petros Pousinis, George Alektoridis, Sara Arranz, Nasos Nikolopoulos, Xingchen Yan, Rebeca Fernández Carrión, Thomas Rowlands, Donghee Choi, Marek Rei, Chris Cave-Ayland, Adrian D’Alessandro, null null, Tim Beck, Joram M. Posma
Veröffentlicht in: 2025
Herausgeber: openRxiv
DOI: 10.1101/2025.09.04.673740