Food is the most powerful medicine we have
A personalized, AI-powered tool helping community nutrition programs match patients with healing foods — grounded in evidence, culture, and access.
How it works
From patient profile to personalized food plan
Care coordinators enter a few key details. The tool handles the rest — surfacing evidence-based food recommendations tailored to each person.
Profile the patient
Enter health conditions, dietary restrictions, cultural background, and local food access — nearby stores, food pantries.
Match to evidence
Cross-references a curated database of food-condition relationships, drawing on peer-reviewed nutrition science and ARTISAN-developed AI models.
Deliver a food plan
Generate a printable, plain-language food plan with specific foods, preparation tips, and culturally familiar recipes — ready to hand to the patient.
Track outcomes
Follow up across visits to log adherence, lab values, and patient-reported wellbeing — building a longitudinal picture of what's working.
Features
Designed for the realities of community health work
Built with input from community health workers, dietitians, and the people they serve — a practical field tool, not a clinical ivory tower.
Condition-matched recommendations
Foods matched to specific diagnoses — diabetes, hypertension, anemia, obesity, depression — with adjustments for polypharmacy and comorbidities.
Budget and pantry aware
Recommendations stay within realistic budgets and flag which foods are available at food banks, community gardens, or local farmers markets.
Culturally responsive food lists
Search by cuisine tradition — West African, South Asian, Mexican, Caribbean, Indigenous — to surface familiar ingredients patients will actually cook.
Grounded in nutrition science
Every recommendation links to supporting evidence — from the USDA food database to peer-reviewed studies — so care teams can explain the why.
Printable, multilingual plans
Generate plain-language food plans in English, Spanish, and more — formatted for low health literacy and ready to print or share digitally.
ARTISAN AI model registry
Runs on curated, benchmarked AI models from the ARTISAN center — with an open registry so community programs contribute local food data back.
Who it's for
Meeting people where they are
Food is Medicine serves the full ecosystem of community nutrition programs — wherever the work happens.
Community health centers
FQHCs and free clinics using food prescriptions alongside medical care to address chronic disease in underserved populations.
Food pharmacies
Programs dispensing groceries alongside prescriptions — produce prescriptions, medically tailored meals, and food as a therapeutic intervention.
WIC & nutrition programs
Supplemental nutrition programs supporting infants, children, and pregnant people with evidence-based food guidance matched to individual needs.
School health programs
School nurses and community liaisons supporting students and families navigating food insecurity and diet-related conditions.
Researchers & evaluators
Public health researchers studying dietary interventions — with built-in outcome tracking and data export for analysis.
Community navigators
Promotoras, patient navigators, and CHWs who bridge clinical recommendations to lived reality — with tools that respect cultural context and language.
The team
Research leadership
A collaboration between precision nutrition scientists and AI research engineers — bridging the gap between cutting-edge omics science and community health programs.
College of Agriculture, Life & Environmental Sciences
Dr. Krishnan leads a precision nutrition research program at UA focused on quantifying human variability in response to dietary interventions. Her work integrates glycoproteomics, multi-omic systems biology, and machine learning to understand how diet and protein glycosylation interact in metabolic disease — including type 2 diabetes and cardiovascular disease.
ARTISAN accelerates advances in science and engineering by integrating cutting-edge AI techniques with large-scale cyberinfrastructure. A joint center between Georgia Tech's College of Computing and the Institute for Data Engineering and Science, ARTISAN brings expertise in AI-driven scientific discovery, interpretable machine learning, and distributed computing systems — including the Nexus supercomputer — to the Food is Medicine project.
Open Source
Built in the open, for the public good
Food is Medicine is open-source software — free to deploy, adapt, and extend. Community programs retain their data. Contributions of local food knowledge, recipes, and outcome evidence flow back to everyone.
- MIT licensed — deploy on your own infrastructure, no vendor lock-in
- HIPAA-conscious architecture — patient data stays with your program
- Open model registry — contribute local food and outcome data back to the community
- Active community of dietitians, developers, and community health workers
- Documented API for integration with EHR and care management systems
Get involved
Help us build the nutrition tool community health deserves
Whether you're a dietitian, developer, community health worker, or someone who's lived it — your perspective makes this tool better.