Explore RECIPE

A research project · Netherlands & Denmark

Plant-rich healthcare meals. Protein quality at the heart.

RECIPE is developing AI recommendations to help dietitians and chefs balance protein quality, taste and sustainability.

Started June 2026. We are building the first AI recommendation models. Evaluation with healthcare institutions is planned for Q1 2028.

Our planned route from meal to menu In development with chefs and dietitians, building on the existing Alpha-Tool.
Plant-rich meal
A candidate dish on the menu
AI recommendation
Planned extension: ingredient substitutions & food pairing
Plant-rich meal with high protein quality
LeuLysIleValThrHis
Amino-acid profiling & digestibility
Healthcare menu
Adequate, palatable & sustainable
High protein quality Taste optimisation Sustainability Feasibility Co-creation with chefs & dietitians

The challenge

A transition that has to be done nutritionally well.

Healthcare is moving towards more plant-rich menus. That shift is desirable when it comes to sustainability; the task is to carry it out without losing protein quality where it matters most.

Plant-rich menus are coming

Healthcare institutions are moving towards more sustainable, plant-rich menus.

Protein quality matters

Plant-rich meals can be lower in digestible essential amino acids, which matters for patients and older adults.

Professionals need practical tools

Chefs and dietitians often lack easy-to-use tools that combine and optimise protein quality, taste, feasibility and sustainability.

Our solution

Nutrition science meets practical meal planning.

We are bringing nutrition science and food pairing into an AI recommender, then testing it with healthcare professionals. The existing Alpha-Tool is available now; the RECIPE recommendation features are in development.

Nutrition science

Protein quality, amino acid profiles, digestibility and meal-level optimisation.

An AI extension to the Alpha-Tool

The first recommendation models are being built to suggest ingredient substitutions that account for protein quality, flavour, sustainability and practical feasibility.

Food pairing science

Flavour-based food pairing to keep optimised plant-rich meals palatable and appealing.

Planned outputs

What RECIPE is working towards.

These are project aims, not completed or validated outputs. RECIPE aims to test and demonstrate the recommendations in healthcare practice; a fully qualified commercial system is beyond the current research scope. We will share results as development and evaluation progress.

01

In development

An AI recommender

Recommendations for plant-rich healthcare meals, with testing and integration into the Alpha-Tool planned.

02

Evaluation planned · Q1 2028

Evidence from healthcare menus

Insight into menu protein quality and the experiences of the professionals who plan meals.

03

Planned

Professional education

A RECIPE online module and workshops for dietitians, chefs and foodservice professionals.

04

Planned

Scientific and practical outputs

Publications, implementation insights and communication materials.

Project structure

Three work packages.

WP1 · Recommender system

Building & testing recommendations

Lead: University of Copenhagen

Development and pilot testing of the AI recommender system with chefs and dietitians.

WP2 · Evaluation & implementation

Testing in the real world

Lead: Wageningen University & Research

Evaluation in healthcare institutions, database development and project coordination.

WP3 · Education & dissemination

Sharing knowledge widely

Lead: WUR Continuing Education · WUR · Fork Ranger

Developing education and workshops, and sharing project findings with professionals and the public.

Where RECIPE will be tested

Across the Netherlands and Denmark.

Evaluation with hospitals and elderly care institutions in the Netherlands and Denmark is planned to start in Q1 2028. Dietitians, chefs and the catering teams serving these institutions can register interest now.

Netherlands
Hospitals & elderly care organisations
Denmark
Hospitals & elderly care organisations

Registering interest now helps us connect with institutions in the Netherlands and Denmark while the recommendation models are being developed. It is an enquiry, not a commitment to take part.

Register your interest
Evaluation target
50+
The project aims to evaluate the recommender system with more than 50 healthcare institutions.
Planned evaluation from Q1 2028

The consortium

An international collaboration.

RECIPE brings together universities, hospitals, caterers, food companies and data organisations across the Netherlands and Denmark.

  • Wageningen University & Research
  • WUR Continuing Education
  • University of Copenhagen
  • Fork Ranger
  • AMS Institute
  • Food Pioneers
  • AMSTA
  • Alliantie Voeding in de Zorg
  • Dijklander ziekenhuis
  • Bispebjerg Hospital
  • Aalborg University Hospital
  • GS1 Denmark
  • Greendish
  • Unilever
  • Sodexo

News & updates

Following the project as it unfolds.

Updates on model development, collaboration and opportunities to participate.

Milestone · June 2026

RECIPE has started

RECIPE started in June 2026 with support from TKI Agri & Food / KIA-LWV and AgriFoodTure Denmark. The team is now building the first AI recommendation models for plant-rich healthcare meals.

RECIPE consortium kick-off meeting held digitally on 19 May 2026
Update · 19 May 2026

Consortium kick-off

Partners from the Netherlands and Denmark met online on 19 May to prepare the collaboration ahead of the formal project start in June 2026.

Expressions of interest open

Connect with the project now

Healthcare institutions can register interest at recipe@wur.nl. Evaluation is planned for Q1 2028; the team can discuss your organisation's interest while participation details are being developed.

For healthcare professionals

Help shape plant-rich healthcare meals.

Dietitians, chefs, menu planners and foodservice teams in the Netherlands and Denmark can register interest now. Evaluation is planned for Q1 2028.

Before you get in touch

Who can register interest?

The evaluation is intended for hospitals and elderly care institutions in the Netherlands and Denmark. Dietitians, chefs, menu planners and catering teams working with these institutions can contact the project on behalf of their organisation. The focus is on assessing and improving the protein quality of plant-rich healthcare menus.

The team will discuss whether your setting fits the study and agree practical participation arrangements. The project plan identifies these target settings but does not set out a complete set of formal inclusion and exclusion criteria.

What would our institution contribute?

The planned evaluation involves working with your existing menus and testing recommendations in practice. Depending on the agreed study activities, your team would:

  • Provide meal or recipe information so the researchers can assess current menu protein quality and suggest improvements.
  • Try the recommender with chefs and dietitians, review suggested ingredient changes and explore their use in your kitchen and menus.
  • Give feedback on usability, feasibility and confidence in plant-rich meal planning, for example through questionnaires, interviews or focus groups.
  • Where agreed, help the research team gather patient or resident perspectives on proposed meal changes and their acceptance.

Participating institutions are intended to receive access to the recommender and tailored menu recommendations. Access and study arrangements will be agreed before participation; the plan includes project-specific licence agreements.

When will activities take place, and how much time is needed?

An initial usability pilot with chefs and dietitians is planned for 2027. Recruitment and preparation for the broader institutional evaluation are planned during 2027, with evaluation starting in Q1 2028 and data collection planned to finish in Q3 2028.

Your institution should allow staff time for onboarding, preparing meal information, trying recommendations and giving feedback. This is a project-wide timetable, not a requirement for continuous participation throughout that period. The plan does not specify hours per institution or the number and length of sessions; these will be agreed with the team before you decide to participate.

Registering interest now does not commit you or your organisation to taking part.

What should I include in my email?

Your name, role, organisation, country and a short description of your interest are enough for an initial enquiry. The project team can discuss suitable opportunities and share participation details when available. Please do not send patient records or other sensitive information in this initial email.

How do I reach the Danish team?

Use recipe@wur.nl for enquiries from either country and mention that your organisation is based in Denmark. The shared mailbox is the route to the Danish contact, Prof. Inge Tetens. Ask the team about language requirements for future study activities; these are not yet confirmed.

Can I use the tool or take training already?

The existing Alpha-Tool is available for meal protein-quality assessment. RECIPE's AI recommendation models are being developed and are not yet a validated public tool. A related WUR course is available for registration; the planned RECIPE module and workshops are separate future outputs. See the outputs and training section.

Contacts & funding

Project lead

Dr. Pol Grootswagers
Wageningen University & Research
pol.grootswagers@wur.nl

Project coordinator

Dr. Jacintha Domić
Wageningen University & Research
Jacintha.Domic@wur.nl

Danish contact

Prof. Inge Tetens
University of Copenhagen
Via recipe@wur.nl

RECIPE is a public-private partnership project supported through TKI Agri & Food / KIA-LWV and AgriFoodTure Denmark.

Dit project ontvangt financiële steun van TKI-Agri&Food. Binnen TKI-Agri&Food werken bedrijfsleven, kennisinstellingen en de overheid samen aan innovaties voor veilig en gezond voedsel voor 9 miljard mensen in een veerkrachtige wereld.

TKI Agri & Food project number: LWV25075

Funded & supported by

TKI Agri & Food
Food & Bio Cluster Denmark
Innovation Fund Denmark
RECIPE
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