COMBATTING DIET RELATED NON-COMMUNICABLE DISEASE THROUGH ENHANCED SURVEILLANCE

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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 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.

Project website

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

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.

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.

Publicaciones

Efficient Dataset Distillation via Minimax Diffusion

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

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

Autores: Kim, Kim, Sohn, Beck, Rei, Kim, Simpson, Posma, Lain, Sung, Kang
Publicado en: Proceedings of the BioCreative VIII Challenge and Workshop: Curation and Evaluation in the era of Generative Models, 2023
Editor: Zenodo

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

Autores: Mark Kozdoba, Binyamin Perets, Shie Mannor
Publicado en: International Conference on Machine Learning, PMLR, 2023., 2023
Editor: Arxiv

Sobolev Space Regularised Pre Density Models

Autores: Mark Kozdoba, Binyamin Perets, Shie Mannor
Publicado en: International Conference on Machine Learning, PMLR, 2024., 2024
Editor: PMLR

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

Autores: Mark Kozdoba, Binyamin Perets, Shie Mannor
Publicado en: NeurIPS 2023 Second Table Representation Learning Workshop. 2023., 2023
Editor: OpenReview

Unnormalized Density Estimation with Root Sobolev Norm Regularization

Autores: Mark Kozdoba, Binyamin Perets, Shie Mannor
Publicado en: OPT 2023: Optimization for Machine Learning. 2023, NeuRIPS Workshop, 2023
Editor: OpenReview

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

Autores: Wang, Vijayaraghavan, Beck, Posma
Publicado en: Journal of Proteome Research, 2024, ISSN 1535-3907
Editor: ACS
DOI: 10.1101/2023.06.23.546229

Learning of Linear Dynamical Systems as a Noncommutative Polynomial Optimization Problem

Autores: Zhou and Mareček
Publicado en: IEEE Transactions on Automatic Control, 2024, ISSN 1558-2523
Editor: IEEE
DOI: 10.48550/arXiv.2002.01444

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