Comprehensive Health Assessment
Six major organs
Health Risk Analysis
The MetaGuard metabolomics analysis platform uses AI algorithms to analyze metabolic signals in the blood and accurately assess health risks across the body’s systems.
Pancreatic islet health
Blood Glucose Regulation & Energy Metabolism
Kidney Health
Filtration efficiency · Electrolyte balance
Liver health
Metabolic Regulation and Detoxification Function
Heart Health
Circulatory Function and Metabolic Health
Immune Health
Immune Function · Antibody Production
Brain Health
Cognitive Function · Neuroprotection
* Based on LC-MS/MS mass spectrometry technology and machine learning algorithms, we provide personalized health risk assessments.
The Origins of Science
MetaGuard's technology originates from long-term research by mProbe, Stanford University, and HBI Solutions. These three institutions are now core partners and shareholders of Homnia.
With this exclusive scientific foundation, Homnia OS brings leading metabolomics analysis and longevity science to you in a clear, actionable way.
Clinical Mass Spectrometry Technology
CAP & CLIA Dual-Certified Laboratory
Academic Research Foundation
Metabolomics and Longevity Science
Health biomarkers
Physiological Age and Risk Assessment
Core Partners and Shareholders
Stanford University Academic Research Foundation
From
Stanford University
Stanford University
Silicon Valley, United States · World-Class Academic Institutions
Bruce Ling, PhD
Stanford Multi-omics and AI Core Scientist
View Stanford professor page
Core Research Areas
Metabolomics and Multi-omics Integrated Analysis
Integrating metabolomic, proteomic, and genomic data to build comprehensive biological systems models
AI-Driven Health Risk Prediction
Develop machine learning and deep learning models to predict health trajectories at the molecular level
Physiological Age and the Biology of Aging
Study the relationship between metabolic markers and the rate of aging, and quantify biological age and health risks.
Precision Health and Preventive Medicine Applications
Translating academic research into clinically usable health management tools
50+
Academic Presentations
Metabolomics and AI Research Papers
10+
Interdisciplinary collaboration
Research collaborations with clinical and industry partners
3
Technology Translation
Built on research from Stanford University, every health risk score in MetaGuard is backed by rigorous scientific evidence and verifiable biological mechanisms.
Start your
Journey to Healthy Longevity
Through scientific-grade metabolomic analysis, understand your biological age, optimize organ health, and extend your healthy lifespan.
Homnia Inc.
Homnia Inc.
TAX ID：60587851
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Taiwan
contact@homnia.life
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