Research & Innovation

We are conducting the highest quality research, leveraging cutting-edge science to develop innovative technologies that reveal how food and ingredients impact metabolism and the microbiome.

Projects

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IngredientIA

Ingredients, microbiome, and digestion models for health through the application of Artificial Intelligence

IngredientIA brings together OmniumAI, NIUM, the University of Minho, and the Iberian International Nanotechnology Laboratory to develop solutions that understand interactions between food ingredients and gut microbiota.

Within this project, NIUM is developing MicroDiGut — a microscale system replicating the full human digestive process, from oral phase to colon. Its role is to experimentally validate the predictions made by OmniumAI's CibusAI platform, ensuring reliability in food reformulation recommendations. Project sheet.

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HealthyW8

Empowering Healthy Lifestyle Behavior

HealthyW8 aims to develop an integrated precision prevention approach for obesity, which includes an enhanced HLRS (Health Lifestyle Recommendation System) based on an emotions-aware HDT (Human Digital Twin). The HLRS will integrate multiple host factors, lifestyle aspects, and socio-economic and living contexts to provide personalized recommendations. More info here.

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NutriSoil

Microbial Communities in Soil and Food

An industrial fellowship from the Fonds National de la Recherche (FNR), Luxembourg has been awarded to Dr. Susana Martínez in collaboration between the University of Aalborg and NIUM. This project aims to explore the role of the soil microbiome in agricultural health, focusing on how microbial communities in various soil types influence soil quality and food nutrition. By studying these microorganisms, the goal is to enhance food sustainability and promote healthier, more nutritious crops that benefit both human health and the environment.

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Perform

Personalized Food-Response Models

An AFR industrial fellowship from the Fonds National de la Recherche (FNR), Luxembourg was awarded to Ms. Hélène De Franco in a collaboration between the Luxembourg Institute of Health and Nium. The project will focus on a better understanding of the individualized impact of fibers and how to leverage that information to provide personalized recommendations. More info here.

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WearTech Human Impact

Personalized Food-Response Models

Nium is partnering with Arizona State University College of Health Solutions, AZ WearTech Center, and Aventyn for a pilot nutrition support study for ambulatory cancer patients. We will use our Nutrida solution to provide tailored nutrition support for patients and their healthcare teams.

Related Publications

COBREXA

Constraint-based reconstruction and exascale analysis, 2022, Bioinformatics

ReconMap

An interactive visualization of human metabolism, 2016, Bioinformatics

Genome-scale metabolic reconstructions

Generation of genome-scale metabolic reconstructions for 773 members of the human gut micro-biota, 2017, Nature Biotechnology

Biochemical constraint-based models

The COBRA Toolbox v3.0, 2019, Nature Protocols

The Virtual Metabolic Human Database

Integrating human and gut microbiome metabolism with nutrition and disease, 2018, Nucleic Acids Research

Microfluidics-based in vitro model

A microfluidics-based in vitro model of the gastrointestinal human–microbe interface, 2016 Nature communications

MicroGut (to be published)

An automated miniaturized platform to model the human gastrointestinal ecosystem

Nutrida

Nutritional platform for clinical trials

Nutrida was developed and tested through clinical nutrition trials. It's built to capture accurate dietary intake, sustain participant engagement, and give your team the data it needs.

Learn more

21

Clinical trials

2410

Recipes

500+

Participant enrolled

  • Tailored protocol recommendations
  • Food data you can actually trust
  • Continuous health monitoring
  • Integrated biological data collection
Nutrida app on iPhone