Scientific foundations
Research behind HealthPeak
Peer-reviewed work in digital health, personalized nutrition, data privacy, and agentic AI — curated for what HealthPeak actually does: preventive lifestyle coaching for sleep, stress, and daily routine.
From research to preventive health intelligence
HealthPeak translates selected strands of Anand Gavai's research programme into a calm companion for habit formation — not a food-fraud monitor or a general science portal.
The publications on this page are the ones that fit that product: RAG-based digital health and personalized nutrition, human-centric recommenders, privacy and FAIR data, and agentic coordination in digital health.
Broader food-safety and agri-food work remains on the Google Scholar profile; it is not listed here because it does not drive the HealthPeak coach.
Three pillars
Scientific foundations
The research streams that underpin the companion
Digital Health & Personalized Nutrition
Peer-reviewed work on RAG-based digital health and human-centric food recommenders — the scientific basis for evidence-grounded, personalized lifestyle guidance.
Key themes
- RAG-based digital health
- Personalized nutrition
- Human-centric recommenders
- Behaviour-aware design
Publications
→ HealthPeak’s evidence-grounded coaching and nutrition guidance
Privacy, FAIR Data & Trustworthy AI
Research on data privacy platforms and FAIR / semantic interoperability — so HealthPeak can keep user data under user control while remaining scientifically honest.
Key themes
- Data privacy
- FAIR data
- Semantic interoperability
- User-owned context
Publications
→ HealthPeak consent, retention, and data-governance layer
Agentic AI & Evidence Reasoning
Perspectives on agentic coordination in digital health and on sober evaluation of AI claims — informing HealthPeak’s contract-based coaching and evidence retrieval.
Key themes
- Agentic AI in digital health
- Evidence reasoning
- Governance-aware AI
- Critical evaluation of AI claims
Publications
→ HealthPeak conversational contracts and reasoning path
How evidence reaches the user
Evidence-driven intelligence
HealthPeak draws on peer-reviewed research and a curated knowledge base so recommendations stay grounded — without inventing medical claims.
Scientific Publications
Peer-reviewed research in digital health, nutrition AI, and trustworthy AI
Scientific Knowledge Base
Structured evidence corpus for sleep, stress, routine, and lifestyle factors
Evidence Retrieval
Retrieval-augmented answers grounded in curated literature
AI Reasoning Engine
Contract-based coaching that uses evidence without inventing medical claims
Personalized Guidance
One small habit step at a time — personalized, reviewable, reversible
Translation
How research powers HealthPeak
Selected papers
Key publications
AI-driven personalized nutrition: RAG-based digital health solution for obesity and type 2 diabetes
PLOS Digital Health (2025)
50 citations
Design implications towards human-centric semantic recommenders for sustainable food consumption
ER / Springer LNCS (2023)
25 citations
Interoperability and FAIRness through a novel combination of Web technologies
PeerJ Computer Science (2017)
120 citations
Agentic AI as a coordination paradigm in digital health and agri-food systems
Patterns (2026)
5 citations
Toward preventive digital health
HealthPeak turns this research into a practical companion: evidence-grounded chat, one small habit at a time, with privacy and honest limits. The goal is accessible preventive guidance for sleep, stress, and routine — not diagnosis, treatment, or overclaimed AI.
Partnerships
Collaborate with us
We welcome collaboration from researchers, universities, healthcare organizations, industry partners, and investors.