Food Nutrition Security Cloud

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

D8.1 FNS-Cloud Charter

A strategic position paper based on the fundamentals analysed in Tasks 81 82 and 83 signed off by the General Assembly as the basis for a sustainable entity

D2.1 Definition of data models and APIs

The deliverable will contain a map of food data areas For each FNS data area data model entities and attributes and APIs signatures parameters and result will be described

D4.3 Report on specifications and access concept for TDS data

User requirements specifications for concentration and consumption data sources, matching tool, simple analysis, and MRCA app(s), low contamination shopping advisor mobile app (low-end user) and food and mixtures apps (high-end user).

D3.2 Methodology for FNS data standardisation and interoperability

Report and open source code for data pre-processing, curation and annotation, matching, analysis and visualisation extended methods will be published on a development platform (e.g., GitHub). FNS ontology will be published on the NCBO BioPortal.

D6.2 Portfolio of communications resources

Communications tools (e.g. branding, resources and literature, web-content, templates, etc.)

D6.4 Portfolio of communications resources

Communications tools (e.g. branding, resources and literature, web-content, templates, etc.) (Update)

D4.2 Food labelling data and reformulation tools

Tool supporting crowd-sourcing of front-of-pack, nutrition declaration, and ingredients images that can be exploited for Food Monitoring Surveys.

D2.4 Authentication and authorisation infrastructure

Authentication and authorisation infrastructure (AAI) will be implemented and deployed, and the FNS-Cloud manual will describe their use. A report will document the work done and AAI functionality.

D7.1 eLearning

e-learning content and inventory of resources

Publications

Food Data Normalization Using Lexical and Semantic Similarities Heuristics

Author(s): Gordana Ispirova, Gorjan Popovski, Eva Valenčič, Nina Hadzi-Kotarova, Tome Eftimov, Barbara Koroušić Seljak
Published in: Biomedical Engineering Systems and Technologies - 13th International Joint Conference, BIOSTEC 2020, Valletta, Malta, February 24–26, 2020, Revised Selected Papers, Issue 1400, 2021, Page(s) 468-485, ISBN 978-3-030-72378-1
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-72379-8_23

FoodOntoMapV2: Food Concepts Normalization Across Food Ontologies

Author(s): Gorjan Popovski, Barbara Koroušić Seljak, Tome Eftimov
Published in: Knowledge Discovery, Knowledge Engineering and Knowledge Management - 11th International Joint Conference, IC3K 2019, Vienna, Austria, September 17-19, 2019, Revised Selected Papers, Issue 1297, 2020, Page(s) 413-426, ISBN 978-3-030-66195-3
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-66196-0_19

FoodViz: Visualization of Food Entities Linked Across Different Standards

Author(s): Riste Stojanov, Gorjan Popovski, Nasi Jofce, Dimitar Trajanov, Barbara Koroušić Seljak, Tome Eftimov
Published in: Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II, Issue 12566, 2020, Page(s) 28-38, ISBN 978-3-030-64579-3
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-64580-9_4

Predefined domain specific embeddings of food concepts and recipes

Author(s): Ispirova, Gordana; Eftimov, Tome; Koroušić-Seljak, Barbara
Published in: 2022 IEEE International Conference on Big Data, Issue 1, 2022, Page(s) 4074-4083, ISBN 978-1-6654-8045-1
Publisher: IEEE
DOI: 10.1109/bigdata55660.2022.10020698

SciFoodNER

Author(s): Cenikj, Gjorgjina; Petelin, Gašper; Koroušić-Seljak, Barbara; Eftimov, Tome
Published in: https://dirros.openscience.si/Dokument.php?id=22530&lang=slv, Issue Annually, 2022, Page(s) 4065-4073, ISBN 9781119701859
Publisher: IEEE
DOI: 10.1109/bigdata55660.2022.10020459

Food Data Integration by using Heuristics based on Lexical and Semantic Similarities

Author(s): Gorjan Popovski, Gordana Ispirova, Nina Hadzi-Kotarova, Eva Valenčič, Tome Eftimov, Barbara Seljak
Published in: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, Issue anually, 2020, Page(s) 208-216, ISBN 978-989-758-398-8
Publisher: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008990602080216

Exploring a standardized language for describing foods using embedding techniques

Author(s): Gorjan Popovski, Bibek Paudel, Tome Eftimov, Barbara Korousic Seljak
Published in: 2019 IEEE International Conference on Big Data (Big Data), Issue anually, 2019, Page(s) 5172-5176, ISBN 978-1-7281-0858-2
Publisher: IEEE
DOI: 10.1109/bigdata47090.2019.9005970

Toward improved semantic annotation of food and nutrition data

Author(s): Jovanovska, L., Panov, P.
Published in: Proceedings of the 23rd International Multiconference Information Society - Data mining and Data Warehouses (SiKDD 2020), Issue anually, 2020, Page(s) 45-48, ISBN 978-961-264-192-4
Publisher: Kataložni zapis o publikaciji (CIP) pripravili v Narodni in univerzitetni knjižnici

1. The food nutrition security cloud in Europe2. Open data in the context of FNS-Cloud and METROFOOD-RI

Author(s): 1. Finglas P., Astley, S., Korousic-Seljak, B., Gibney, E., Presser, K., de la Cueva Gonzalez-Cotera, J., Fillery-Travis, A., Webb, S. and Frankte, P. on behalf of the FNS Consortium 2. Presser K., Matuszczak A., Kapela W., Zoani C., Finglas P., Astley, S., Koroušić Seljak B.
Published in: 5th IMEKOFOODS, Issue annually, 2020, Page(s) 27-28; 39-40, ISBN 978-80-213-3036-8
Publisher: Czech University of Life Sciences Prague (CZ)
DOI: 10.5281/zenodo.4446984

The food nutrition security cloud in Europe

Author(s): Finglas, P; Astley, S; Korousic-Seljak, B; Gibney, E; Presser, K; de la Cueva Gonzalez-Cotera, J.; Fillery-Travis, A; Webb, S; Frankte, P
Published in: 5th IMEKO Conference - Proceedings, Issue 1, 2020, Page(s) 31-32
Publisher: IMEKO
DOI: 10.5281/zenodo.6961951

Teaching Open Science. What do FNS-Cloud Food Researchers Want to Know?

Author(s): FLYNN; Ciolacu; Fillery-Travis; Mayor
Published in: 8th International Conference on Higher Education Advances (HEAd'22), Issue 1, 2022
Publisher: OpenAIRE
DOI: 10.5281/zenodo.6655779

Toward improved semantic annotation of food and nutrition data

Author(s): Jovanovska, Lidija; Panov, Panče
Published in: Proceedings of the 23rd International Multiconference Information Society - Data mining and Data Warehouses, Issue 1, 2020, Page(s) 45-49
Publisher: JSI
DOI: 10.5281/zenodo.6958615

FoodChem: A food-chemical relation extraction model

Author(s): Gjorgjina Cenikj; Barbara Korousic Seljak; Tome Eftimov
Published in: 2021 IEEE Symposium Series on Computational Intelligence, Issue 2021, 2021, Page(s) 1-8, ISSN 1803-7232
Publisher: John Wiley & Sons and IEEE
DOI: 10.1109/ssci50451.2021.9660161

FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction

Author(s): Gorjan Popovski, Stefan Kochev, Barbara Seljak, Tome Eftimov
Published in: Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, Issue annually, 2019, Page(s) 915-922, ISBN 978-989-758-351-3
Publisher: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007686309150922

Comparing Semantic and Nutrient Value Similarities of Recipes

Author(s): Gordana Ispirova, Tome Eftimov, Barbara Korousic Seljak
Published in: 2019 IEEE International Conference on Big Data (Big Data), Issue anually, 2019, Page(s) 5131-5139, ISBN 978-1-7281-0858-2
Publisher: IEEE
DOI: 10.1109/bigdata47090.2019.9006080

Food Nutrition and Security Cloud: A case usage of NLP technologies to extract food–drug interactions from scientific and clinical texts.

Author(s): Enrique Carrillo de Santa Pau
Published in: IBERIAN HEALTH AND FOOD LANGUAGE TECHNOLOGIES (IberHeLT), Issue 2021, 2021, Page(s) 1-19
Publisher: IberHeLT2021
DOI: 10.5281/zenodo.6962455

Managing food and microbiome studies data using Fairspace, a flexible and FAIR data management platform

Author(s): Grudzien E., van der Horst E., van den Bergh F., Traka M.H., Ng D., Hildebrand F., Evelo C.T., Coort S.L.M., Şener D.D., Cirillo E.
Published in: CEUR Workshop Proceedings, Issue 3415, 2023, Page(s) 171-172, ISSN 1613-0073
Publisher: CEUR-WS

APRICOT: A humAn-comPuteR InteraCtion tool for linking foOd wasTe streams across different semantic resources

Author(s): Bojan Dimoski, Riste Stojanov, Tome Eftimov, Hannah Pinchen, Maria Traka, Paul Finglas, Barbara Korousic Seljak
Published in: 2020 IEEE International Conference on Big Data (Big Data), Issue anually, 2020, Page(s) 3557-3562, ISBN 978-1-7281-6251-5
Publisher: IEEE
DOI: 10.1109/bigdata50022.2020.9377744

Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data

Author(s): Gordana Ispirova, Tome Eftimov, Barbara Korousic Seljak
Published in: 2020 IEEE International Conference on Big Data (Big Data), Issue annually, 2020, Page(s) 3563-3572, ISBN 978-1-7281-6251-5
Publisher: IEEE
DOI: 10.1109/bigdata50022.2020.9378159

Development of a mapping and merging framework to address data fragmentation in nutritional research: FNS Cloud project

Author(s): G. Bennett; LA. Bardon; C. McAteer; ER. Gibney
Published in: Proceedings of the Nutrition Society, Issue 81, 2022, Page(s) E95, ISSN 0029-6651
Publisher: Cambridge University Press
DOI: 10.1017/s0029665122001240

Designing Apps to Support Engagement by Older Adults: A think-aloud study of the eNutri dietary-intake assessment web app

Author(s): Kelly, Eve and Weech, Michelle and Fallaize, Rosalind and Zenun Franco, Rodrigo and Hwang, Faustina and Lovegrove, Julie
Published in: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility, Issue 60, 2021, Page(s) 1-3, ISBN 9781450383066
Publisher: Association for Computing Machinery
DOI: 10.1145/3441852.3476537

The Book of Abstracts of the 5th International Conference on Metrology in Food and Nutrition - IMEKOFOODS 5

Author(s): Matyáš Krtička; Matěj Božik; Lenka Kouřimská; Pavel Klouček
Published in: Book of Abstracts of the 5th International Conference on Metrology in Food and Nutrition - IMEKOFOODS 5, Issue 2020, 2020, Page(s) 16-18, ISBN 978-80-213-3036-8
Publisher: CZECH UNIVERSITY OF LIFE SCIENCES
DOI: 10.5281/zenodo.4035961

Using Deep Learning for Food and Beverage Image Recognition

Author(s): Simon Mezgec, Barbara Korousic Seljak
Published in: 2019 IEEE International Conference on Big Data (Big Data), Issue annualy, 2019, Page(s) 5149-5151, ISBN 978-1-7281-0858-2
Publisher: IEEE
DOI: 10.1109/bigdata47090.2019.9006181

III BioinfoCAM abstract: Detection of food-drug interactions using natural language processing techniques in the context of FNS-Cloud project

Author(s): Garranzo, Marco; Laguna Lobo, Teresa; Carrillo de Santa Pau, Enrique
Published in: III BioinfoCAM Proceedings, Issue 1, 2022, Page(s) 1
Publisher: OpenAIRE
DOI: 10.5281/zenodo.6958157

BuTTER: BidirecTional LSTM for Food Named-Entity Recognition

Author(s): Gjorgjina Cenikj, Gorjan Popovski, Riste Stojanov, Barbara Korousic Seljak, Tome Eftimov
Published in: 2020 IEEE International Conference on Big Data (Big Data), Issue annualy, 2020, Page(s) 3550-3556, ISBN 978-1-7281-6251-5
Publisher: IEEE
DOI: 10.1109/bigdata50022.2020.9378151

1. Open data in the context of FNS-Cloud and METROFOOD-RI 2. The food nutrition security cloud in Europe

Author(s): 1. Presser K. 1 , Matuszczak A.2, Kapela W.2, Zoani C.3, Finglas P.4, 5, Astley, S.5, Koroušić Seljak B.6 2. Finglas P.1,2, Astley, S.2, Korousic-Seljak, B.3, Gibney, E.4, Presser, K.5, de la Cueva Gonzalez-Cotera,J.6, Fillery-Travis, A.7, Webb, S.8 and Frankte, P.9
Published in: 5 TH INTERNATIONAL CONFERENCE ON METROLOGY IN FOOD AND NUTRITION, Issue annually, 2020, Page(s) 31, 46, ISBN 978-80-213-3036-8
Publisher: CZECH UNIVERSITY OF LIFE SCIENCES PRAGUE
DOI: 10.5281/zenodo.4772372

Development of a first-generation Food Cloud for data, tools and services related to the nutrition, health and agri-food sciences–contributions from UCD to the Food Nutrition Security Cloud (FNS-Cloud) project

Author(s): LA. Bardon; G. Bennett; C. McAteer; SY. Yang; ER. Gibney
Published in: Proceedings of the Nutrition Society, Issue 81, 2022, Page(s) E106, ISSN 0022-3166
Publisher: Cambridge University Press
DOI: 10.1017/s0029665122001355

Branded Foods Databases as a Tool to Support Nutrition Research and Monitoring of the Food Supply: Insights From the Slovenian Composition and Labeling Information System

Author(s): Igor Pravst; Igor Pravst; Igor Pravst; Maša Hribar; Maša Hribar; Katja Žmitek; Katja Žmitek; Bojan Blažica; Barbara Koroušić Seljak; Anita Kušar; Anita Kušar
Published in: Frontiers in Nutrition, Issue 8, 2021, Page(s) 798576, ISSN 2296-861X
Publisher: Frontier Media SA
DOI: 10.3389/fnut.2021.798576

Special Issue “Innovations in the Food System: Exploring the Future of Food”

Author(s): Maria Lisa Clodoveo
Published in: MDPI Foods, Issue 11(15), 2022, Page(s) 2183, ISSN 2304-8158
Publisher: MDPI
DOI: 10.3390/foods11152183

Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation

Author(s): Mežnar, Sebastian, Matej Bevec, Nada Lavrač, and Blaž Škrlj
Published in: Machine Learning and Knowledge Extraction, Issue 4, 2022, Page(s) 1107-1123, ISSN 2504-4990
Publisher: MDPI
DOI: 10.3390/make4040056

DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks

Author(s): Kralj, Jan; Škrlj, Blaž; Ramšak, Živa; Lavrač, Nada; Gruden, Kristina
Published in: arXiv: Genomics, Issue 2302.03907v1, 2023, Page(s) 1-17, ISSN 2331-8422
Publisher: arXiv
DOI: 10.48550/arxiv.2302.03907

A Survey of Named-Entity Recognition Methods for Food Information Extraction

Author(s): Gorjan Popovski, Barbara Korousic Seljak, Tome Eftimov
Published in: IEEE Access, Issue 8, 2020, Page(s) 31586-31594, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.2973502

Usability of a web-based food frequency questionnaire app (eNutri) and a 24-hour dietary recall system (Intake24) in adults aged 65 years

Author(s): Kelly, E., Weech, M., Fallaize, R., Franco, R., Hwang, F., & Lovegrove, J.
Published in: Proceedings of the Nutrition Society, Issue 81(OCE5), 2022, Page(s) E213, ISSN 0029-6651
Publisher: CABI Publishing
DOI: 10.1017/s0029665122002464

Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets

Author(s): Ispirova, Gordana; Eftimov, Tome; Seljak, Barbara Koroušić
Published in: ArXiv: Computation and Language, Issue 2302.01005, 2023, Page(s) 1-10, ISSN 2331-8422
Publisher: ArXiv
DOI: 10.48550/arxiv.2302.01005

In-depth insights into Alzheimer’s disease by using explainable machine learning approach

Author(s): Bojan Bogdanovic; Tome Eftimov; Monika Simjanoska
Published in: Scientific Reports, Issue 12, 2021, Page(s) 6508, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-022-10202-2

FoodEx2vec: New foods’ representation for advanced food data analysis

Author(s): Tome Eftimov, Gorjan Popovski, Eva Valenčič, Barbara Koroušić Seljak
Published in: Food and Chemical Toxicology, Issue 138, 2020, Page(s) 111169, ISSN 0278-6915
Publisher: Elsevier BV
DOI: 10.1016/j.fct.2020.111169

COVID-19 pandemic changes the food consumption patterns

Author(s): Tome Eftimov, Gorjan Popovski, Matej Petković, Barbara Koroušić Seljak, Dragi Kocev
Published in: Trends in Food Science & Technology, Issue 104, 2020, Page(s) 268-272, ISSN 0924-2244
Publisher: Elsevier BV
DOI: 10.1016/j.tifs.2020.08.017

P-NUT: Predicting NUTrient Content from Short Text Descriptions

Author(s): Gordana Ispirova, Tome Eftimov, Barbara Koroušić Seljak
Published in: Mathematics, Issue 8/10, 2020, Page(s) 1811, ISSN 2227-7390
Publisher: MDPI
DOI: 10.3390/math8101811

Validation of a developed online 24-h dietary recall tool (Foodbook24) in a Chinese population in Ireland: preliminary results from a comparison study

Author(s): S. Yang; G. Bennett; L.A. Bardon; E.L. Feeney; E.R. Gibney
Published in: Proceedings of the Nutrition Society, Issue 81, 2022, Page(s) E92, ISSN 0022-3166
Publisher: American Society for Nutritional Sciences
DOI: 10.1017/s0029665122001215

FooDis

Author(s): Cenikj, Gjorgjina; Eftimov, Tome; Koroušić-Seljak, Barbara
Published in: Artificial Intelligence in Medicine, Issue 142, 2023, Page(s) 102586, ISSN 1873-2860
Publisher: Elsevier
DOI: 10.1016/j.artmed.2023.102586

Ten simple rules for creating reusable pathway models for computational analysis and visualization.

Author(s): Kristina Hanspers; Martina Kutmon; Susan L. Coort; Daniela Digles; Lauren J. Dupuis; Friederike Ehrhart; Finterly Hu; Elisson Nogueira Lopes; Marvin Martens; Nhung Pham; Woosub Shin; Denise Slenter; Andra Waagmeester; Egon Willighagen; Laurent A. Winckers; Chris T. Evelo; Alexander R. Pico
Published in: PLoS Computational Biology, Issue 17(8), 2021, Page(s) e1009226, ISSN 1553-7358
Publisher: PLOS
DOI: 10.1371/journal.pcbi.1009226

Introducing ground cover management in pesticide emission modeling

Author(s): Céline Gentil-Sergent; Claudine Basset-Mens; Christel Renaud-Gentié; Charles Mottes; Carlos Manuel Moraleda Melero; Arthur Launay; Peter Fantke
Published in: Integrated Environmental Assessment and Management, Issue 18(1), 2020, Page(s) 274–288, ISSN 1551-3793
Publisher: John Wiley & Sons
DOI: 10.1002/ieam.4482

FoodBase corpus: a new resource of annotated food entities

Author(s): Gorjan Popovski, Barbara Koroušić Seljak, Tome Eftimov
Published in: Database, Issue 2019, 2019, Page(s) 1-13, ISSN 1758-0463
Publisher: Oxford University Press
DOI: 10.1093/database/baz121

Optimising an FFQ Using a Machine Learning Pipeline to teach an Efficient Nutrient Intake Predictive Model.

Author(s): Nina Reščič; Tome Eftimov; Barbara Koroušić Seljak; Mitja Luštrek
Published in: MDPI Nutrients, Issue 12(12), 2020, Page(s) 3789, ISSN 2072-6643
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu12123789

A Search Engine Concept to Improve Food Traceability and Transparency: Preliminary Results

Author(s): Palocci, Caterina, Karl Presser, Agnieszka Kabza, Emilia Pucci, and Claudia Zoani
Published in: Foods, Issue 7, 2022, Page(s) 989, ISSN 2304-8158
Publisher: MDPI
DOI: 10.3390/foods11070989

Improved plant bioconcentration modeling of pesticides: The role of periderm dynamics

Author(s): Shenglan Xiao; Zijian Li; Peter Fantke
Published in: Pest Management Science, Issue 77(11), 2021, Page(s) 5096-5108, ISSN 1526-4998
Publisher: John Wiley & Sons
DOI: 10.1002/ps.6549

Link Analysis meets Ontologies: Are Embeddings the Answer?

Author(s): Me��nar, Sebastian; Bevec, Matej; Lavra��, Nada; ��krlj, Bla��
Published in: arXiv, Issue https://arxiv.org/abs/2111.11710v1, 2021, Page(s) https://arxiv.org/abs/2111.11710v1, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2111.11710

Applications of Wild Isolates of Saccharomyces Yeast for Industrial Fermentation: The Gut of Social Insects as Niche for Yeast Hybrids’ Production

Author(s): Monica Di Paola, Niccolò Meriggi, Duccio Cavalieri
Published in: Frontiers in Microbiology, Issue 11, 2020, Page(s) 1-8, ISSN 1664-302X
Publisher: Frontiers Media
DOI: 10.3389/fmicb.2020.578425

Deep Neural Networks for Image-Based Dietary Assessment

Author(s): Simon Mezgec, Barbara Koroušić Seljak
Published in: Journal of Visualized Experiments, Issue 169, 2021, ISSN 1940-087X
Publisher: MYJoVE Corporation
DOI: 10.3791/61906

A Comparison of Dietary Patterns and Factors Influencing Food Choice among Ethnic Groups Living in One Locality: A Systematic Review

Author(s): Eileen Gibney; Grace Bennett; Laura Bardon
Published in: Nutrients, Issue 14(5), 2022, Page(s) 941, ISSN 2072-6643
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu14050941

Domain Heuristic Fusion of Multi-Word Embeddings for Nutrient Value Prediction

Author(s): Gordana Ispirova; Tome Eftimov; Barbara Koroušić Seljak
Published in: Mathematics, Issue 9(16), 2021, Page(s) 1941, ISSN 2227-7390
Publisher: MDPI AG
DOI: 10.3390/math9161941

Diets, nutrients, genes and the microbiome: recent advances in personalised nutrition

Author(s): Nathan V. Matusheski, Aoife Caffrey, Lars Christensen, Simon Mezgec, Shelini Surendran, Mads F. Hjorth, Helene McNulty, Kristina Pentieva, Henrik M. Roager, Barbara Koroušić Seljak, Karani Santhanakrishnan Vimaleswaran, Marcus Remmers, Szabolcs Péter
Published in: British Journal of Nutrition, Issue twice monthly, 2021, Page(s) 1-9, ISSN 0007-1145
Publisher: CABI Publishing
DOI: 10.1017/s0007114521000374

Trends in the Use of Low and No-Calorie Sweeteners in Non-Alcoholic Beverages in Slovenia

Author(s): Edvina Hafner, Maša Hribar, Hristo Hristov, Anita Kušar, Katja Žmitek, Mark Roe, Igor Pravst
Published in: Foods, Issue 10/2, 2021, Page(s) 387, ISSN 2304-8158
Publisher: MDPI
DOI: 10.3390/foods10020387

Cross-linking reactions in food proteins and proteomic approaches for their detection

Author(s): Giovanni Renzone, Simona Arena, Andrea Scaloni
Published in: Mass Spectrometry Reviews, Issue 10982787, 2021, Page(s) 1-38, ISSN 1098-2787
Publisher: Wiley
DOI: 10.1002/mas.21717

The Sharp Rise in the Use of Low- and No-Calorie Sweeteners in Non-Alcoholic Beverages in Slovenia: An Update Based on 2020 Data

Author(s): Edvina Hafner; Edvina Hafner; Igor Pravst; Igor Pravst; Igor Pravst
Published in: Frontiers in Nutrition, Issue 8, 2021, Page(s) 778178, ISSN 2296-861X
Publisher: Frontier Media SA
DOI: 10.3389/fnut.2021.778178

Verifying the Use of Food Labeling Data for Compiling Branded Food Databases: A Case Study of Sugars in Beverages

Author(s): Edvina Hafner; Edvina Hafner; Živa Lavriša; Maša Hribar; Sanja Krušič; Anita Kušar; Katja Žmitek; Katja Žmitek; Mihaela Skrt; Nataša Poklar Ulrih; Igor Pravst; Igor Pravst; Igor Pravst
Published in: Frontiers in Nutrition, Issue 9, 2022, Page(s) 794468, ISSN 2296-861X
Publisher: Frontiers Media S.A.
DOI: 10.3389/fnut.2022.794468

Co-designing personalised nutrition advice with adults aged 65+ years: a user study of the eNutri web app

Author(s): Kelly, E., Weech, M., Fallaize, R., Franco, R., Hwang, F., & Lovegrove, J.
Published in: Proceedings of the Nutrition Society, Issue 80(OCE5), 2021, Page(s) E187, ISSN 0029-6651
Publisher: CABI Publishing
DOI: 10.1017/s0029665121003153

Use of Food Additive Titanium Dioxide (E171) before the Introduction of Regulatory Restrictions Due to Concern for Genotoxicity

Author(s): Urška Blaznik; Sanja Krušič; Maša Hribar; Anita Kušar; Katja Žmitek; Igor Pravst
Published in: Foods, Issue 10(8), 2021, Page(s) 1910, ISSN 2304-8158
Publisher: MDPI
DOI: 10.3390/foods10081910

Workflow for building interoperable food and nutrition security (FNS) data platforms

Author(s): Emara, Yasmine; Koroušić Seljak, Barbara; Gibney, Eileen R.; Popovski, Gorjan; Pravst, Igor; Fantke, Peter
Published in: Trends in Food Science & Technology, Issue 1, 2022, Page(s) 310-321, ISSN 0924-2244
Publisher: Elsevier BV
DOI: 10.1016/j.tifs.2022.03.022

Improving Pesticide Uptake Modeling into Potatoes: Considering Tuber Growth Dynamics

Author(s): Shenglan Xiao, Yishu Gong, Zijian Li, Peter Fantke
Published in: Journal of Agricultural and Food Chemistry, Issue 69/12, 2021, Page(s) 3607-3616, ISSN 0021-8561
Publisher: American Chemical Society
DOI: 10.1021/acs.jafc.1c00151

Evaluation of the Ability of Nutri-Score to Discriminate the Nutritional Quality of Prepacked Foods Using a Sale-Weighting Approach

Author(s): Edvina Hafner; Igor Pravst
Published in: Foods, Issue 10(8), 2021, Page(s) 1689, ISSN 2304-8158
Publisher: MDPI
DOI: 10.3390/foods10081689

Use of Branded Food Composition Databases for the Exploitation of Food Fortification Practices: A Case Study on Vitamin D in the Slovenian Food Supply

Author(s): Sanja Krušič, Maša Hribar, Edvina Hafner, Katja Žmitek, Igor Pravst
Published in: Frontiers in Nutrition, Issue 8, 2021, Page(s) 775163, ISSN 2296-861X
Publisher: Frontiers Media S.A.
DOI: 10.3389/fnut.2021.775163

In-depth Insights into Alzheimer's Disease by using Explainable Machine Learning Approach - Existing Hypothesis Confronted

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Publisher: Macmillan Ltd
DOI: 10.21203/rs.3.rs-447958/v1

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DOI: 10.3390/ijerph20053980

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DOI: 10.1093/database/baac107

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DOI: 10.3390/make5010001

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DOI: 10.1101/2023.07.19.549686

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