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 (10)

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

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

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

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

Peer reviewed articles (2)

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

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