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Projects / Programmes source: ARIS

Building Efficient NCDs (NonCommunicable Diseases) Early Warning Tools (BE NEWT)

Research activity

Code Science Field Subfield
3.01.00  Medical sciences  Microbiology and immunology   

Code Science Field
3.01  Medical and Health Sciences  Basic medicine 
Keywords
EU4Health programme 2021-2027; EU non-communicable diseases initiative; Europe’s Beating Cancer Plan; better knowledge, data, screening, early detection, diagnosis; metagenomics; metabolomics; urine; gut; swab; serum; top-down; data driven integration; machine learning; early warning tools; clinics
Evaluation (metodology)
source: COBISS
Points
20,722.06
A''
8,238.07
A'
13,077.1
A1/2
16,379.8
CI10
46,152
CImax
14,967
h10
78
A1
51.27
A3
25.23
Data for the last 5 years (citations for the last 10 years) on October 15, 2025; Data for score A3 calculation refer to period 2020-2024
Data for ARIS tenders ( 04.04.2019 – Programme tender, archive )
Database Linked records Citations Pure citations Average pure citations
WoS  55  18,617  18,458  335.6 
Scopus  62  19,521  19,336  311.87 
Organisations (5) , Researchers (31)
0104  National Institute of Chemistry
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  59314  Donya Allahbakhshi Hafshejani  Chemical engineering  Researcher  2024 
2.  37381  PhD Miša Mojca Cajnko  Chemical engineering  Researcher  2024 - 2025  57 
3.  54673  Ana Jakob  Chemical engineering  Young researcher  2024 - 2025  19 
4.  25446  PhD Blaž Likozar  Chemical engineering  Researcher  2024 - 2025  1,517 
5.  24975  PhD Damjan Makuc  Chemistry  Researcher  2024 - 2025  141 
6.  33161  PhD Uroš Novak  Biotechnology  Researcher  2024 - 2025  284 
7.  53614  PhD Ana Oberlintner  Chemical engineering  Young researcher  2024 - 2025  95 
8.  59473  Maša Ošlak  Biotechnology  Researcher  2024 - 2025  16 
9.  10082  PhD Janez Plavec  Chemistry  Researcher  2024 - 2025  1,339 
10.  56120  Emilija Rakić Krstić  Chemical engineering  Young researcher  2024 - 2025  18 
11.  19104  PhD Blaž Stres  Animal production  Head  2024 - 2025  417 
0106  Jožef Stefan Institute
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  27733  PhD Tina Kosjek  Control and care of the environment  Researcher  2024 - 2025  388 
2.  57084  Žan Rekar  Pharmacy  Young researcher  2024 - 2025 
3.  03950  PhD Dušan Žigon  Chemistry  Retired researcher  2024 - 2025  182 
0312  University Medical Centre Ljubljana
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  56193  Ula Arkar Silan  Medical sciences  Researcher  2024 - 2025  15 
2.  55066  Melita Bokalič  Psychiatry  Young researcher  2024 - 2025 
3.  53302  Vanja Čuk  Human reproduction  Researcher  2024 - 2025  24 
4.  19210  PhD Rok Gašperšič  Stomatology  Researcher  2024 - 2025  275 
5.  56921  Haris Munjaković  Stomatology  Young researcher  2024 - 2025  12 
6.  36604  Jasna Oražem  Neurobiology  Young researcher  2024 - 2025  43 
7.  21413  PhD Damjan Osredkar  Human reproduction  Researcher  2024 - 2025  539 
8.  35406  PhD Daša Perko  Human reproduction  Researcher  2024 - 2025  40 
9.  33917  PhD Martin Štimpfel  Human reproduction  Researcher  2024 - 2025  97 
10.  56616  Domen Trampuž  Human reproduction  Researcher  2024 - 2025 
11.  55105  Eva Vrščaj  Medical sciences  Researcher  2024 - 2025  35 
12.  12177  PhD Eda Vrtačnik-Bokal  Human reproduction  Researcher  2024 - 2025  605 
13.  50227  PhD Mojca Zajc Avramovič  Human reproduction  Researcher  2025  65 
0381  University of Ljubljana, Faculty of Medicine
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  22621  PhD Polonca Ferk  Metabolic and hormonal disorders  Researcher  2024 - 2025  148 
2.  15355  PhD Branimir Leskošek  Public health (occupational safety)  Researcher  2024 - 2025  199 
3.  36368  PhD Marko Vidak  Medical sciences  Researcher  2024 - 2025  33 
1538  University of Ljubljana, Faculty of Electrical Engineering
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  20183  PhD Boštjan Murovec  Computer science and informatics  Researcher  2024 - 2025  224 
Abstract
We are applying for a major SSF project entitled Building Efficient NCDs (Noncommunicable Diseases) Early Warning Tools (BE NEWT) in the field of Medicine 3; 3.01 Microbiology and Immunology. The lead applicant of the project is the Chemical Institute in collaboration with four partners: the Jožef Stefan Institute, the University Clinical Centre Ljubljana, the Faculty of Electrical Engineering of the University of Ljubljana and ELIXIR-SI. NCDs are a major cause of ill health worldwide and their burden is increasing due to ageing and changing population demographic patterns. The burden of NCDs is particularly high in the WHO European Region. The EU4Health 2021-2027 programme responds to the long-term health challenge with the objectives of (i) promoting health and preventing disease and (ii) strengthening health data, digital tools and services and the digital transformation of healthcare. Since December 2021, Together Healthier - EU for Non-Communicable Diseases (NCDs) 2022-2027 (cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, cancer), and the European Cancer Plan, steer coordinated efforts to prevention, care, better knowledge, data, screening and early detection, diagnosis. Microbiomes contribute to thousands of metabolites in the blood through their metabolic activities. The majority of metabolites and interactions in blood and faeces are exclusively microbiome-derived (>65% and >70%, respectively), and act as modifiers of signalling, energy and other pathways and molecules, and hence influence human health. This project aims to: (i) Develop the (Gut) Microbiome Response Chip (GMRC) as a new tool for intensive real-time monitoring of personalised metabolic reactions of the gut microbiome. (ii) Mapping the gut microbiome space in conjunction with the associated urine metabolomes using the most powerful analytics (chemical, genomic), to produce big data amenable for ML/AI, to integrate multiple data layers, from stool and urine (including serum and swabs) for the same subjects, allowing us to build an infrastructure to integrate data from both data streams (gut-urine) for in-depth exploration and database growth. (iii) Apply the developed tools on real clinical stool and urine samples to design NCDs early warning tools considering as input GMRC data, gut microbiome metagenomic, metabolomic and chemical data, next to associated urine chemical and metabolomic space, to build classification models for unknown samples as tools,and search for biomarkers. SWOT assessment of analytical techniques will be used to design a more limited set of the most cost-effective measurements and methods. (iv) Ethical and legal aspects of the work, medical ethics approvals, establishment of effective data protection measures and procedures up to and beyond project completion will be conducted in line with advanced supra/national (EGA; https://ega-archive.org/), Data Access Committees (https://ega-archive. org/dacs). (v) Secure integration of medical data, developed protocols, pipelines and databases with structured, working, accessible and secure databases on the ELIXIR-SI portal to create the infrastructure of the future and integrate new datasets to enable further growth of databases towards existing SVIT programmes (https://www. program-svit.si/en/), DORA (https://dora.onko-i.si/english, ZORA (https://zora.onko-i.si/en). (vi) Manage, publish and use the project to realise the main grand objective of the project, which is to develop a screening approach as an early warning tool for NCDs in support of digitisation, innovation in the use of real-world data to open new avenues for the control of NCDs in line with EU health programmes and initiatives, and to enable systematic studies of interactions between drugs/chemicals and the microbiome and human health, both at an individual as well as at an integral population scale.  
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