Research Behind HealthPeak
Built on peer-reviewed research in AI, food systems, and digital health — federated learning, explainable AI, evidence reasoning, and personalized nutrition.
From Research to Preventive Health Intelligence
HealthPeak emerged from research exploring how artificial intelligence can transform food systems, digital health, and personalized nutrition.
Over the past years, research in this space has investigated topics including federated learning, explainable AI, semantic interoperability, and AI-driven nutrition systems.
These research streams converge into HealthPeak — a platform designed to support preventive health through evidence-based guidance.
Scientific Foundations
Three research pillars underpin the HealthPeak platform
Trustworthy AI Infrastructure
Research in this area focuses on building trustworthy AI systems capable of integrating data across organizations while preserving privacy, transparency, and interoperability.
Key themes
- Federated learning
- Data governance
- Semantic interoperability
- Explainable AI
Publications
- Applying federated learning to combat food fraud in food supply chains — npj Science of Food (2023)
- Agricultural data privacy: Emerging platforms & strategies — Food and Humanity (2025)
- The role and applications of semantic interoperability tools and explainable AI in the development of smart food systems — Intelligent Systems with Applications (2025)
- Food fraud detection using explainable artificial intelligence — Expert Systems (2025)
→ Contributes to HealthPeak data infrastructure layer
AI-Driven Food & Nutrition Intelligence
This research stream explores how artificial intelligence can support personalized nutrition and sustainable food systems.
Key themes
- Personalized nutrition
- Digital health
- Sustainable food recommendations
- AI decision support
Publications
→ Contributes to NutriGreen module inside HealthPeak
Evidence Reasoning & Scientific Integration
This research investigates how artificial intelligence can integrate scientific knowledge across domains and support reasoning over complex health information.
Key themes
- Evidence reasoning
- Intelligent recommendation systems
- Scientific knowledge integration
Publications
→ Contributes to HealthPeak reasoning engine and scientific knowledge base
Evidence-Driven Intelligence
HealthPeak integrates scientific evidence directly into its reasoning system. The platform draws from peer-reviewed research and a curated scientific knowledge base to ensure that recommendations are grounded in scientific research.
Scientific Publications
Peer-reviewed research across AI, nutrition, and digital health
Scientific Knowledge Base
Structured representation of evidence and relationships
Evidence Retrieval
Retrieval from a curated scientific knowledge base for each query
AI Reasoning Engine
AI-powered analysis drawing from peer-reviewed research
Personalized Guidance
Tailored recommendations grounded in scientific literature
How Research Powers HealthPeak
Key Publications
Applying federated learning to combat food fraud in food supply chains
npj Science of Food
24 citationsToward Preventive Digital Health
HealthPeak represents the next step in translating scientific research into real-world health intelligence systems. By combining AI-powered analysis with evidence-based nutrition science, HealthPeak aims to provide accessible preventive health guidance for individuals worldwide.
Collaborate With Us
We welcome collaboration from researchers, universities, healthcare organizations, industry partners, and investors.